{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb\Log File of Replication Do File for A Ticking Time Bomb.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}17 May 2024, 13:40:54

{com}. do "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb\Replication Do File for A Ticking Time Bomb.do"
{txt}
{com}. ***Replication Do File for "A Ticking Time Bomb: Restrictions on Abortion Rights and Physical Integrity Rights"
. *Nazli Avdan, Amanda Murdie, and Victor Asal"
. *Date: 5/16/2024
. *Please reach out to murdie@uga.edu with any questions 
. 
. 
. clear 
{txt}
{com}. *remember to set your working directory to where the replication dataset is 
. cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}. 
. use ReplicationDataset.dta, replace
{txt}
{com}. tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
. *Analysis Tables in the Manuscript Itself
. 
.                 *Please see separate do file for making the maps
.                 
.                 *Figure 2
.                 *yearly average - cai_cai1 
.                 bysort year: egen yearlycai_cai1 = mean(cai_cai1)
{txt}(10,916 missing values generated)

{com}.                 label variable yearlycai_cai1 "Yearly World Mean - Comparative Abortion Index 1"
{txt}
{com}.                 line yearlycai_cai1 year if ccode==2 & year>1991 & year <2020
{res}{txt}
{com}.                 *graph save "*graph" "Yearly CAI1.gph", replace 
. 
.                 bysort year: egen yearlycai_cai2 = mean(cai_cai2)
{txt}(10,916 missing values generated)

{com}.                 label variable yearlycai_cai2 "Yearly World Mean - Comparative Abortion Index 2"
{txt}
{com}.                 line yearlycai_cai2 year if ccode==2 & year>1991 & year <2020
{res}{txt}
{com}.                 *graph save "*graph" "Yearly CAI2.gph", replace 
. 
.                 *Table 1: Dynamic Model - Abortion Rights and Reduction of social group civil liberties and abortion rights and reduction of human rights 
.                 *Model 1: theta_mean and cai1
.                 tsset ccode year
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table1RR ,  replace word se label
.                 *Model 2: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13888.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23271

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606109{col 33}{space 2} .0061981{col 44}{space 1}  154.99{col 53}{space 3}0.000{col 61}{space 4} .9484586{col 74}{space 3} .9727632
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0341938{col 33}{space 2} .0123966{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .0098883{col 74}{space 3} .0584993
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025308{col 33}{space 2} .0009006{col 44}{space 1}    2.81{col 53}{space 3}0.005{col 61}{space 4} .0007651{col 74}{space 3} .0042965
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017299{col 33}{space 2}   .00368{col 44}{space 1}   -4.70{col 53}{space 3}0.000{col 61}{space 4}-.0245143{col 74}{space 3}-.0100836
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0116544{col 33}{space 2} .0039371{col 44}{space 1}    2.96{col 53}{space 3}0.003{col 61}{space 4} .0039351{col 74}{space 3} .0193738
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0203024{col 33}{space 2} .0216779{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0628054{col 74}{space 3} .0222006
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0129519{col 33}{space 2} .0162608{col 44}{space 1}    0.80{col 53}{space 3}0.426{col 61}{space 4}-.0189301{col 74}{space 3} .0448339
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001166{col 33}{space 2} .0005696{col 44}{space 1}    0.20{col 53}{space 3}0.838{col 61}{space 4}-.0010002{col 74}{space 3} .0012335
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180119{col 33}{space 2} .0115022{col 44}{space 1}    1.57{col 53}{space 3}0.117{col 61}{space 4}  -.00454{col 74}{space 3} .0405638
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0165652{col 33}{space 2} .0183042{col 44}{space 1}   -0.90{col 53}{space 3}0.366{col 61}{space 4}-.0524535{col 74}{space 3} .0193232
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0306368{col 33}{space 2} .0126157{col 44}{space 1}   -2.43{col 53}{space 3}0.015{col 61}{space 4}-.0553719{col 74}{space 3}-.0059016
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1955728{col 33}{space 2} .0583611{col 44}{space 1}    3.35{col 53}{space 3}0.001{col 61}{space 4} .0811464{col 74}{space 3} .3099992
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table1RR ,  append word se label
.                 *Model 3: social group cl & cai1
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 18964.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13217

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9888189{col 33}{space 2} .0038669{col 44}{space 1}  255.71{col 53}{space 3}0.000{col 61}{space 4} .9812372{col 74}{space 3} .9964007
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027329{col 33}{space 2} .0013487{col 44}{space 1}    2.03{col 53}{space 3}0.043{col 61}{space 4} .0000886{col 74}{space 3} .0053773
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007228{col 33}{space 2}  .000588{col 44}{space 1}    1.23{col 53}{space 3}0.219{col 61}{space 4}-.0004301{col 74}{space 3} .0018758
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0041576{col 33}{space 2} .0015364{col 44}{space 1}   -2.71{col 53}{space 3}0.007{col 61}{space 4}-.0071699{col 74}{space 3}-.0011453
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0028055{col 33}{space 2} .0015523{col 44}{space 1}   -1.81{col 53}{space 3}0.071{col 61}{space 4}-.0058491{col 74}{space 3} .0002381
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0201573{col 33}{space 2} .0130129{col 44}{space 1}   -1.55{col 53}{space 3}0.121{col 61}{space 4}-.0456712{col 74}{space 3} .0053566
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0068163{col 33}{space 2} .0087998{col 44}{space 1}    0.77{col 53}{space 3}0.439{col 61}{space 4} -.010437{col 74}{space 3} .0240696
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003452{col 33}{space 2} .0002197{col 44}{space 1}   -1.57{col 53}{space 3}0.116{col 61}{space 4} -.000776{col 74}{space 3} .0000857
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0036659{col 33}{space 2} .0084176{col 44}{space 1}    0.44{col 53}{space 3}0.663{col 61}{space 4}-.0128383{col 74}{space 3} .0201701
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129195{col 33}{space 2}  .009473{col 44}{space 1}   -1.36{col 53}{space 3}0.173{col 61}{space 4}-.0314928{col 74}{space 3} .0056538
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.019279{col 33}{space 2} .0088754{col 44}{space 1}   -2.17{col 53}{space 3}0.030{col 61}{space 4}-.0366807{col 74}{space 3}-.0018773
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0988807{col 33}{space 2} .0283453{col 44}{space 1}    3.49{col 53}{space 3}0.000{col 61}{space 4} .0433051{col 74}{space 3} .1544563
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table1RR ,  append word se label
.                 *Model 4: social group and cai2
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 19066.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13219

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9889632{col 33}{space 2} .0038329{col 44}{space 1}  258.02{col 53}{space 3}0.000{col 61}{space 4} .9814482{col 74}{space 3} .9964782
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0154936{col 33}{space 2}   .00816{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0005054{col 74}{space 3} .0314927
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007109{col 33}{space 2} .0005864{col 44}{space 1}    1.21{col 53}{space 3}0.225{col 61}{space 4}-.0004388{col 74}{space 3} .0018607
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0041555{col 33}{space 2} .0015401{col 44}{space 1}   -2.70{col 53}{space 3}0.007{col 61}{space 4}-.0071752{col 74}{space 3}-.0011358
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0027058{col 33}{space 2} .0015427{col 44}{space 1}   -1.75{col 53}{space 3}0.080{col 61}{space 4}-.0057305{col 74}{space 3} .0003188
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.019411{col 33}{space 2} .0129054{col 44}{space 1}   -1.50{col 53}{space 3}0.133{col 61}{space 4}-.0447141{col 74}{space 3} .0058921
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0069002{col 33}{space 2} .0088172{col 44}{space 1}    0.78{col 53}{space 3}0.434{col 61}{space 4}-.0103874{col 74}{space 3} .0241879
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003297{col 33}{space 2} .0002168{col 44}{space 1}   -1.52{col 53}{space 3}0.128{col 61}{space 4}-.0007547{col 74}{space 3} .0000954
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0030537{col 33}{space 2} .0084738{col 44}{space 1}    0.36{col 53}{space 3}0.719{col 61}{space 4}-.0135606{col 74}{space 3}  .019668
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129747{col 33}{space 2}   .00954{col 44}{space 1}   -1.36{col 53}{space 3}0.174{col 61}{space 4}-.0316795{col 74}{space 3} .0057301
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0192769{col 33}{space 2} .0090642{col 44}{space 1}   -2.13{col 53}{space 3}0.034{col 61}{space 4}-.0370488{col 74}{space 3}-.0015051
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1013681{col 33}{space 2} .0285327{col 44}{space 1}    3.55{col 53}{space 3}0.000{col 61}{space 4} .0454252{col 74}{space 3}  .157311
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table1RR ,  append  word se label
.                 *Model 5: theta_mean and cai1, with social group cl included 
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 14927.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res} .23222

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9522224{col 33}{space 2} .0070596{col 44}{space 1}  134.88{col 53}{space 3}0.000{col 61}{space 4}  .938381{col 74}{space 3} .9660639
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0191615{col 33}{space 2} .0057675{col 44}{space 1}    3.32{col 53}{space 3}0.001{col 61}{space 4} .0078533{col 74}{space 3} .0304697
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0039466{col 33}{space 2} .0021402{col 44}{space 1}    1.84{col 53}{space 3}0.065{col 61}{space 4}-.0002495{col 74}{space 3} .0081428
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014915{col 33}{space 2}  .000851{col 44}{space 1}    1.75{col 53}{space 3}0.080{col 61}{space 4}-.0001771{col 74}{space 3} .0031602
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0183675{col 33}{space 2} .0037207{col 44}{space 1}   -4.94{col 53}{space 3}0.000{col 61}{space 4}-.0256625{col 74}{space 3}-.0110724
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0151277{col 33}{space 2} .0039689{col 44}{space 1}    3.81{col 53}{space 3}0.000{col 61}{space 4} .0073461{col 74}{space 3} .0229093
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0093297{col 33}{space 2} .0213732{col 44}{space 1}   -0.44{col 53}{space 3}0.662{col 61}{space 4}-.0512352{col 74}{space 3} .0325758
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0111255{col 33}{space 2} .0161009{col 44}{space 1}    0.69{col 53}{space 3}0.490{col 61}{space 4}-.0204429{col 74}{space 3}  .042694
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001184{col 33}{space 2}  .000564{col 44}{space 1}   -0.21{col 53}{space 3}0.834{col 61}{space 4}-.0012241{col 74}{space 3} .0009873
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0191505{col 33}{space 2} .0116267{col 44}{space 1}    1.65{col 53}{space 3}0.100{col 61}{space 4}-.0036455{col 74}{space 3} .0419465
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0193461{col 33}{space 2} .0179861{col 44}{space 1}   -1.08{col 53}{space 3}0.282{col 61}{space 4}-.0546106{col 74}{space 3} .0159185
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0317988{col 33}{space 2} .0123276{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0559691{col 74}{space 3}-.0076285
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1767789{col 33}{space 2} .0568412{col 44}{space 1}    3.11{col 53}{space 3}0.002{col 61}{space 4} .0653326{col 74}{space 3} .2882253
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table1RR ,  append word se label
.                 *Model 6: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 14911.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res} .23221

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9521555{col 33}{space 2}  .007064{col 44}{space 1}  134.79{col 53}{space 3}0.000{col 61}{space 4} .9383054{col 74}{space 3} .9660056
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0191763{col 33}{space 2} .0057304{col 44}{space 1}    3.35{col 53}{space 3}0.001{col 61}{space 4} .0079408{col 74}{space 3} .0304117
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0259886{col 33}{space 2} .0129454{col 44}{space 1}    2.01{col 53}{space 3}0.045{col 61}{space 4}  .000607{col 74}{space 3} .0513702
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014706{col 33}{space 2} .0008504{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4}-.0001968{col 74}{space 3} .0031379
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0184612{col 33}{space 2}  .003733{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.0257803{col 74}{space 3}-.0111421
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0149493{col 33}{space 2} .0039311{col 44}{space 1}    3.80{col 53}{space 3}0.000{col 61}{space 4} .0072418{col 74}{space 3} .0226568
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0088474{col 33}{space 2} .0214393{col 44}{space 1}   -0.41{col 53}{space 3}0.680{col 61}{space 4}-.0508827{col 74}{space 3} .0331879
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0113241{col 33}{space 2} .0161043{col 44}{space 1}    0.70{col 53}{space 3}0.482{col 61}{space 4} -.020251{col 74}{space 3} .0428992
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001154{col 33}{space 2} .0005687{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0012305{col 74}{space 3} .0009996
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0194203{col 33}{space 2} .0115046{col 44}{space 1}    1.69{col 53}{space 3}0.091{col 61}{space 4}-.0031363{col 74}{space 3} .0419769
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0188564{col 33}{space 2} .0180729{col 44}{space 1}   -1.04{col 53}{space 3}0.297{col 61}{space 4}-.0542913{col 74}{space 3} .0165785
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0338592{col 33}{space 2} .0126695{col 44}{space 1}   -2.67{col 53}{space 3}0.008{col 61}{space 4}-.0586999{col 74}{space 3}-.0090185
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .183147{col 33}{space 2} .0574786{col 44}{space 1}    3.19{col 53}{space 3}0.001{col 61}{space 4} .0704508{col 74}{space 3} .2958431
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table1RR ,  append word se label
. 
.                 *Table 2: Causal Mediation Models 
.                 *treatment is going from median to 3 or median to 2
.                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai1, continuous ( 4 3)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 1.876e-28}  
Iteration 1:{space 2}EE criterion = {res: 7.733e-32}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:3}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2} -.001768{col 39}{space 2} .0005905{col 50}{space 1}   -2.99{col 59}{space 3}0.003{col 67}{space 4}-.0029253{col 80}{space 3}-.0006108
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0041706{col 39}{space 2} .0020881{col 50}{space 1}   -2.00{col 59}{space 3}0.046{col 67}{space 4}-.0082632{col 80}{space 3}-.0000779
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0059386{col 39}{space 2} .0019792{col 50}{space 1}   -3.00{col 59}{space 3}0.003{col 67}{space 4}-.0098178{col 80}{space 3}-.0020594
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                 estat proportion
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:3}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai1 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2977165{col 26}{space 2} .1432709{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0169107{col 67}{space 3} .5785224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table2RR ,  replace word se label excel
.                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai1, continuous ( 4 2)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 1.876e-28}  
Iteration 1:{space 2}EE criterion = {res: 9.502e-32}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:2}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0031534{col 39}{space 2} .0012877{col 50}{space 1}   -2.45{col 59}{space 3}0.014{col 67}{space 4}-.0056772{col 80}{space 3}-.0006296
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0083412{col 39}{space 2} .0041762{col 50}{space 1}   -2.00{col 59}{space 3}0.046{col 67}{space 4}-.0165264{col 80}{space 3}-.0001559
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0114946{col 39}{space 2}  .004067{col 50}{space 1}   -2.83{col 59}{space 3}0.005{col 67}{space 4}-.0194657{col 80}{space 3}-.0035234
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                 estat proportion 
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:2}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai1 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2743395{col 26}{space 2} .1428238{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}  -.00559{col 67}{space 3} .5542691
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table2RR ,  append word se label excel
.                 *cai2 - from mean to 0
.                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg   liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai2, continuous ( .481 0)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 2.559e-28}  
Iteration 1:{space 2}EE criterion = {res: 1.356e-31}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 5:.481}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 5:0}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0039646{col 39}{space 2}  .002002{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.0078884{col 80}{space 3}-.0000408
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0128512{col 39}{space 2} .0061127{col 50}{space 1}   -2.10{col 59}{space 3}0.036{col 67}{space 4}-.0248319{col 80}{space 3}-.0008705
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0168158{col 39}{space 2} .0062985{col 50}{space 1}   -2.67{col 59}{space 3}0.008{col 67}{space 4}-.0291606{col 80}{space 3} -.004471
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                 estat proportion  
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 5:.481}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 5:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai2 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2357662{col 26}{space 2} .1292597{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0175782{col 67}{space 3} .4891105
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table2RR ,  append word se label excel
.                 *cai2 - from 1 to 0
.                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai2, continuous ( 1 0)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 2.559e-28}  
Iteration 1:{space 2}EE criterion = {res: 8.115e-31}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 2:1}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 2:0}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0082424{col 39}{space 2}  .004162{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.0163998{col 80}{space 3} -.000085
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0302732{col 39}{space 2} .0120059{col 50}{space 1}   -2.52{col 59}{space 3}0.012{col 67}{space 4}-.0538043{col 80}{space 3} -.006742
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0385156{col 39}{space 2}  .011814{col 50}{space 1}   -3.26{col 59}{space 3}0.001{col 67}{space 4}-.0616707{col 80}{space 3}-.0153605
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                 estat proportion
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 2:1}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 2:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai2 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2140023{col 26}{space 2}  .118938{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0191119{col 67}{space 3} .4471166
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table2RR ,  append word se label excel
. 
. 
.                 *Dynamic Simulations from the Manuscript
.                 clear 
{txt}
{com}.                 cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}. 
.                 use ReplicationDataset.dta, replace
{txt}
{com}. 
.                 *First model
.                 reg theta_mean ltheta_mean lcai_cai1   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          theta_mean{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ltheta_mean {c |}{col 22}{res}{space 2} .9606398{col 34}{space 2} .0061989{col 45}{space 1}  154.97{col 54}{space 3}0.000{col 62}{space 4} .9484859{col 75}{space 3} .9727937
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .0053635{col 34}{space 2} .0020336{col 45}{space 1}    2.64{col 54}{space 3}0.008{col 62}{space 4} .0013763{col 75}{space 3} .0093507
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0025538{col 34}{space 2} .0009026{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .0007842{col 75}{space 3} .0043234
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0172091{col 34}{space 2} .0036679{col 45}{space 1}   -4.69{col 54}{space 3}0.000{col 62}{space 4}-.0244006{col 75}{space 3}-.0100175
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0118092{col 34}{space 2} .0039687{col 45}{space 1}    2.98{col 54}{space 3}0.003{col 62}{space 4} .0040279{col 75}{space 3} .0195906
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0210986{col 34}{space 2} .0215925{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4}-.0634341{col 75}{space 3}  .021237
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0126956{col 34}{space 2} .0162556{col 45}{space 1}    0.78{col 54}{space 3}0.435{col 62}{space 4}-.0191761{col 75}{space 3} .0445672
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0001055{col 34}{space 2} .0005648{col 45}{space 1}    0.19{col 54}{space 3}0.852{col 62}{space 4}-.0010019{col 75}{space 3} .0012128
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0180201{col 34}{space 2}  .011623{col 45}{space 1}    1.55{col 54}{space 3}0.121{col 62}{space 4}-.0047686{col 75}{space 3} .0408088
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} -.017057{col 34}{space 2} .0182177{col 45}{space 1}   -0.94{col 54}{space 3}0.349{col 62}{space 4}-.0527758{col 75}{space 3} .0186617
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0285127{col 34}{space 2} .0122771{col 45}{space 1}   -2.32{col 54}{space 3}0.020{col 62}{space 4} -.052584{col 75}{space 3}-.0044413
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1877647{col 34}{space 2} .0576697{col 45}{space 1}    3.26{col 54}{space 3}0.001{col 62}{space 4}  .074694{col 75}{space 3} .3008354
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *get summary variables 
.                 sum ltheta_mean lcai_cai1 if e(sample), detail

                {txt}Fariss Human Rights Score t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}-1.934485      -3.391152
{txt} 5%    {res}-1.658196      -2.498335
{txt}10%    {res}-1.354677      -2.424394       {txt}Obs         {res}      3,413
{txt}25%    {res}-.5064729      -2.393101       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res} .3120516                      {txt}Mean          {res} .4441125
                        {txt}Largest       Std. dev.     {res} 1.386661
{txt}75%    {res} 1.342086       5.332476
{txt}90%    {res} 2.193382        5.33294       {txt}Variance      {res} 1.922828
{txt}95%    {res} 2.943246       5.334482       {txt}Skewness      {res} .5171884
{txt}99%    {res} 4.164968       5.336182       {txt}Kurtosis      {res} 3.247306

          {txt}Comparative Abortion Index 1 (0 to 7) t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        1              0
{txt}10%    {res}        1              0       {txt}Obs         {res}      3,413
{txt}25%    {res}        1              0       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res}        4                      {txt}Mean          {res} 4.010841
                        {txt}Largest       Std. dev.     {res} 2.492933
{txt}75%    {res}        7              7
{txt}90%    {res}        7              7       {txt}Variance      {res} 6.214712
{txt}95%    {res}        7              7       {txt}Skewness      {res}-.0207484
{txt}99%    {res}        7              7       {txt}Kurtosis      {res} 1.432419
{txt}
{com}.                 estsimp reg theta_mean ltheta_mean lcai_cai1   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7, robust sims (1000)

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          theta_mean{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ltheta_mean {c |}{col 22}{res}{space 2} .9606398{col 34}{space 2} .0061989{col 45}{space 1}  154.97{col 54}{space 3}0.000{col 62}{space 4} .9484859{col 75}{space 3} .9727937
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .0053635{col 34}{space 2} .0020336{col 45}{space 1}    2.64{col 54}{space 3}0.008{col 62}{space 4} .0013763{col 75}{space 3} .0093507
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0025538{col 34}{space 2} .0009026{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .0007842{col 75}{space 3} .0043234
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0172091{col 34}{space 2} .0036679{col 45}{space 1}   -4.69{col 54}{space 3}0.000{col 62}{space 4}-.0244006{col 75}{space 3}-.0100175
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0118092{col 34}{space 2} .0039687{col 45}{space 1}    2.98{col 54}{space 3}0.003{col 62}{space 4} .0040279{col 75}{space 3} .0195906
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0210986{col 34}{space 2} .0215925{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4}-.0634341{col 75}{space 3}  .021237
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0126956{col 34}{space 2} .0162556{col 45}{space 1}    0.78{col 54}{space 3}0.435{col 62}{space 4}-.0191761{col 75}{space 3} .0445672
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0001055{col 34}{space 2} .0005648{col 45}{space 1}    0.19{col 54}{space 3}0.852{col 62}{space 4}-.0010019{col 75}{space 3} .0012128
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0180201{col 34}{space 2}  .011623{col 45}{space 1}    1.55{col 54}{space 3}0.121{col 62}{space 4}-.0047686{col 75}{space 3} .0408088
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} -.017057{col 34}{space 2} .0182177{col 45}{space 1}   -0.94{col 54}{space 3}0.349{col 62}{space 4}-.0527758{col 75}{space 3} .0186617
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0285127{col 34}{space 2} .0122771{col 45}{space 1}   -2.32{col 54}{space 3}0.020{col 62}{space 4} -.052584{col 75}{space 3}-.0044413
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1877647{col 34}{space 2} .0576697{col 45}{space 1}    3.26{col 54}{space 3}0.001{col 62}{space 4}  .074694{col 75}{space 3} .3008354
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Simulating main parameters.  Please wait....
% of simulations completed: 8% 16% 25% 33% 41% 50% 58% 66% 75% 83% 91% 100% 


Simulating sigma-squared.  Please wait


Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13
{txt}
{com}. 
.                 * Figure 5a: The effects of drops in CAI scores (drop of 1 and drop of 2)
.                 dynsim, ldv(ltheta_mean) /*
>                 */      scen1(ltheta_mean 0.44 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai1 4)  /*
>                 */      scen2(ltheta_mean 0.44 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai1 3)  /*
>                 */      scen3(ltheta_mean 0.44 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai1 2)  /*
>                 */      n(8) sig(95) sav(CA11backsliding)
{txt}{p 0 4 2}
(file {bf}
CA11backsliding.dta{rm}
not found)
{p_end}

{com}. 
. 
.                 preserve
{txt}
{com}.                         use CA11backsliding.dta, clear
{txt}
{com}.                         twoway (rcapsym lower_1 upper_1 t, msymbol(sh)) (rcapsym lower_2 upper_2 t, msymbol(x)) (rcapsym lower_3 upper_3 t, msymbol(s)), ytitle("Human Rights Protection Score", size(medlarge)) /*
>                         */ legend(label(1 "Median Comparative Abortion Index #1 Score = 4") label(2 "Abortion Backsiding, Comparative Abortion Index #1 Score = 3") label(3 "Abortion Backsiding, Comparative Abortion Index #1 Score = 2") col(1) pos(6)) /*
>                         */ xtitle("Year", size(medlarge)) xlabel(0(1)8)
{res}{txt}
{com}.                 restore
{txt}
{com}.                 *graph save "Graph" "CAI1 Drops Fariss.gph", replace 
. 
. 
.                 *Figure 5b. : The effects of drops in CAI2 scores (highest mean lowest )
.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 reg theta_mean ltheta_mean lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13888.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23271

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          theta_mean{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ltheta_mean {c |}{col 22}{res}{space 2} .9606109{col 34}{space 2} .0061981{col 45}{space 1}  154.99{col 54}{space 3}0.000{col 62}{space 4} .9484586{col 75}{space 3} .9727632
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .0341938{col 34}{space 2} .0123966{col 45}{space 1}    2.76{col 54}{space 3}0.006{col 62}{space 4} .0098883{col 75}{space 3} .0584993
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0025308{col 34}{space 2} .0009006{col 45}{space 1}    2.81{col 54}{space 3}0.005{col 62}{space 4} .0007651{col 75}{space 3} .0042965
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} -.017299{col 34}{space 2}   .00368{col 45}{space 1}   -4.70{col 54}{space 3}0.000{col 62}{space 4}-.0245143{col 75}{space 3}-.0100836
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0116544{col 34}{space 2} .0039371{col 45}{space 1}    2.96{col 54}{space 3}0.003{col 62}{space 4} .0039351{col 75}{space 3} .0193738
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0203024{col 34}{space 2} .0216779{col 45}{space 1}   -0.94{col 54}{space 3}0.349{col 62}{space 4}-.0628054{col 75}{space 3} .0222006
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0129519{col 34}{space 2} .0162608{col 45}{space 1}    0.80{col 54}{space 3}0.426{col 62}{space 4}-.0189301{col 75}{space 3} .0448339
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0001166{col 34}{space 2} .0005696{col 45}{space 1}    0.20{col 54}{space 3}0.838{col 62}{space 4}-.0010002{col 75}{space 3} .0012335
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0180119{col 34}{space 2} .0115022{col 45}{space 1}    1.57{col 54}{space 3}0.117{col 62}{space 4}  -.00454{col 75}{space 3} .0405638
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0165652{col 34}{space 2} .0183042{col 45}{space 1}   -0.90{col 54}{space 3}0.366{col 62}{space 4}-.0524535{col 75}{space 3} .0193232
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.0306368{col 34}{space 2} .0126157{col 45}{space 1}   -2.43{col 54}{space 3}0.015{col 62}{space 4}-.0553719{col 75}{space 3}-.0059016
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1955728{col 34}{space 2} .0583611{col 45}{space 1}    3.35{col 54}{space 3}0.001{col 62}{space 4} .0811464{col 75}{space 3} .3099992
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 sum ltheta_mean lcai_cai2 if e(sample), detail

                {txt}Fariss Human Rights Score t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}-1.934485      -3.391152
{txt} 5%    {res}-1.658196      -2.498335
{txt}10%    {res}-1.354677      -2.424394       {txt}Obs         {res}      3,413
{txt}25%    {res}-.5064729      -2.393101       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res} .3120516                      {txt}Mean          {res} .4441125
                        {txt}Largest       Std. dev.     {res} 1.386661
{txt}75%    {res} 1.342086       5.332476
{txt}90%    {res} 2.193382        5.33294       {txt}Variance      {res} 1.922828
{txt}95%    {res} 2.943246       5.334482       {txt}Skewness      {res} .5171884
{txt}99%    {res} 4.164968       5.336182       {txt}Kurtosis      {res} 3.247306

          {txt}Comparative Abortion Index 2 (0 to 1) t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}      .01              0
{txt}10%    {res}      .01              0       {txt}Obs         {res}      3,413
{txt}25%    {res}      .05              0       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res}       .4                      {txt}Mean          {res} .4807181
                        {txt}Largest       Std. dev.     {res} .4083669
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1667635
{txt}95%    {res}        1              1       {txt}Skewness      {res} .1965267
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  1.38169
{txt}
{com}.                 estsimp reg theta_mean ltheta_mean lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13888.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23271

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          theta_mean{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ltheta_mean {c |}{col 22}{res}{space 2} .9606109{col 34}{space 2} .0061981{col 45}{space 1}  154.99{col 54}{space 3}0.000{col 62}{space 4} .9484586{col 75}{space 3} .9727632
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .0341938{col 34}{space 2} .0123966{col 45}{space 1}    2.76{col 54}{space 3}0.006{col 62}{space 4} .0098883{col 75}{space 3} .0584993
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0025308{col 34}{space 2} .0009006{col 45}{space 1}    2.81{col 54}{space 3}0.005{col 62}{space 4} .0007651{col 75}{space 3} .0042965
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} -.017299{col 34}{space 2}   .00368{col 45}{space 1}   -4.70{col 54}{space 3}0.000{col 62}{space 4}-.0245143{col 75}{space 3}-.0100836
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0116544{col 34}{space 2} .0039371{col 45}{space 1}    2.96{col 54}{space 3}0.003{col 62}{space 4} .0039351{col 75}{space 3} .0193738
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0203024{col 34}{space 2} .0216779{col 45}{space 1}   -0.94{col 54}{space 3}0.349{col 62}{space 4}-.0628054{col 75}{space 3} .0222006
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0129519{col 34}{space 2} .0162608{col 45}{space 1}    0.80{col 54}{space 3}0.426{col 62}{space 4}-.0189301{col 75}{space 3} .0448339
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0001166{col 34}{space 2} .0005696{col 45}{space 1}    0.20{col 54}{space 3}0.838{col 62}{space 4}-.0010002{col 75}{space 3} .0012335
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0180119{col 34}{space 2} .0115022{col 45}{space 1}    1.57{col 54}{space 3}0.117{col 62}{space 4}  -.00454{col 75}{space 3} .0405638
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0165652{col 34}{space 2} .0183042{col 45}{space 1}   -0.90{col 54}{space 3}0.366{col 62}{space 4}-.0524535{col 75}{space 3} .0193232
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0306368{col 34}{space 2} .0126157{col 45}{space 1}   -2.43{col 54}{space 3}0.015{col 62}{space 4}-.0553719{col 75}{space 3}-.0059016
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1955728{col 34}{space 2} .0583611{col 45}{space 1}    3.35{col 54}{space 3}0.001{col 62}{space 4} .0811464{col 75}{space 3} .3099992
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Simulating main parameters.  Please wait....
% of simulations completed: 8% 16% 25% 33% 41% 50% 58% 66% 75% 83% 91% 100% 


Simulating sigma-squared.  Please wait


Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13
{txt}
{com}.                 dynsim, ldv(ltheta_mean) /*
>                 */      scen1(ltheta_mean 0.44 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai2 1)  /*
>                 */      scen2(ltheta_mean 0.44 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai2 .481)  /*
>                 */      scen3(ltheta_mean 0.44 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai2 0)  /*
>                 */      n(8) sig(95) sav(CAI2backsliding)
{txt}{p 0 4 2}
(file {bf}
CAI2backsliding.dta{rm}
not found)
{p_end}

{com}. 
. 
.                 preserve
{txt}
{com}.                         use CAI2backsliding.dta, clear
{txt}
{com}.                         twoway (rcapsym lower_1 upper_1 t, msymbol(sh)) (rcapsym lower_2 upper_2 t, msymbol(x)) (rcapsym lower_3 upper_3 t, msymbol(s)), ytitle("Human Rights Protection Score", size(medlarge)) /*
>                         */ legend(label(1 "Highest Comparative Abortion Index #2 Score  = 1") label(2 "Abortion Backsiding, Mean Comparative Abortion Index #2 Score = 0.481") label(3 "Abortion Backsiding, Lowest Comparative Abortion Index #2 Score = 0") col(1) pos(6)) /*
>                         */ xtitle("Year", size(medlarge)) xlabel(0(1)8)
{res}{txt}
{com}.                 restore
{txt}
{com}.                 *graph save "Graph" "CAI2 Drops Fariss.gph", replace 
. 
.                 *graph combine "CAI1 Drops Fariss.gph" "CAI2 Drops Fariss.gph", altshrink iscale(.7) 
. 
. 
. 
.                 *Figure 6a: The effects of drops in CAI scores (drop of 1 and drop of 2) - v2clsocgrp 
.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 reg v2clsocgrp lv2clsocgrp lcai_cai1   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 18964.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13217

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          v2clsocgrp{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}lv2clsocgrp {c |}{col 22}{res}{space 2} .9888189{col 34}{space 2} .0038669{col 45}{space 1}  255.71{col 54}{space 3}0.000{col 62}{space 4} .9812372{col 75}{space 3} .9964007
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .0027329{col 34}{space 2} .0013487{col 45}{space 1}    2.03{col 54}{space 3}0.043{col 62}{space 4} .0000886{col 75}{space 3} .0053773
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0007228{col 34}{space 2}  .000588{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.0004301{col 75}{space 3} .0018758
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0041576{col 34}{space 2} .0015364{col 45}{space 1}   -2.71{col 54}{space 3}0.007{col 62}{space 4}-.0071699{col 75}{space 3}-.0011453
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-.0028055{col 34}{space 2} .0015523{col 45}{space 1}   -1.81{col 54}{space 3}0.071{col 62}{space 4}-.0058491{col 75}{space 3} .0002381
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0201573{col 34}{space 2} .0130129{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-.0456712{col 75}{space 3} .0053566
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0068163{col 34}{space 2} .0087998{col 45}{space 1}    0.77{col 54}{space 3}0.439{col 62}{space 4} -.010437{col 75}{space 3} .0240697
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0003452{col 34}{space 2} .0002197{col 45}{space 1}   -1.57{col 54}{space 3}0.116{col 62}{space 4} -.000776{col 75}{space 3} .0000857
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0036659{col 34}{space 2} .0084176{col 45}{space 1}    0.44{col 54}{space 3}0.663{col 62}{space 4}-.0128382{col 75}{space 3} .0201701
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0129195{col 34}{space 2}  .009473{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-.0314928{col 75}{space 3} .0056539
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} -.019279{col 34}{space 2} .0088754{col 45}{space 1}   -2.17{col 54}{space 3}0.030{col 62}{space 4}-.0366807{col 75}{space 3}-.0018773
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0988807{col 34}{space 2} .0283453{col 45}{space 1}    3.49{col 54}{space 3}0.000{col 62}{space 4} .0433051{col 75}{space 3} .1544564
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *get summary variables 
.                 sum lv2clsocgrp lcai_cai1 if e(sample), detail

         {txt}Social group equality in respect for civil
                        liberties t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}   -1.559         -2.054
{txt} 5%    {res}    -.986         -1.706
{txt}10%    {res}    -.781         -1.706       {txt}Obs         {res}      3,413
{txt}25%    {res}     .404         -1.706       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res}    1.117                      {txt}Mean          {res} 1.020093
                        {txt}Largest       Std. dev.     {res} 1.131598
{txt}75%    {res}    1.758          3.511
{txt}90%    {res}    2.448          3.511       {txt}Variance      {res} 1.280514
{txt}95%    {res}    2.671          3.511       {txt}Skewness      {res}-.3712516
{txt}99%    {res}    3.145          3.511       {txt}Kurtosis      {res}  2.54292

          {txt}Comparative Abortion Index 1 (0 to 7) t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        1              0
{txt}10%    {res}        1              0       {txt}Obs         {res}      3,413
{txt}25%    {res}        1              0       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res}        4                      {txt}Mean          {res} 4.010841
                        {txt}Largest       Std. dev.     {res} 2.492933
{txt}75%    {res}        7              7
{txt}90%    {res}        7              7       {txt}Variance      {res} 6.214712
{txt}95%    {res}        7              7       {txt}Skewness      {res}-.0207484
{txt}99%    {res}        7              7       {txt}Kurtosis      {res} 1.432419
{txt}
{com}.                 estsimp reg  v2clsocgrp lv2clsocgrp lcai_cai1   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  , robust sims (1000)

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 18964.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13217

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          v2clsocgrp{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}lv2clsocgrp {c |}{col 22}{res}{space 2} .9888189{col 34}{space 2} .0038669{col 45}{space 1}  255.71{col 54}{space 3}0.000{col 62}{space 4} .9812372{col 75}{space 3} .9964007
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .0027329{col 34}{space 2} .0013487{col 45}{space 1}    2.03{col 54}{space 3}0.043{col 62}{space 4} .0000886{col 75}{space 3} .0053773
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0007228{col 34}{space 2}  .000588{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.0004301{col 75}{space 3} .0018758
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0041576{col 34}{space 2} .0015364{col 45}{space 1}   -2.71{col 54}{space 3}0.007{col 62}{space 4}-.0071699{col 75}{space 3}-.0011453
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-.0028055{col 34}{space 2} .0015523{col 45}{space 1}   -1.81{col 54}{space 3}0.071{col 62}{space 4}-.0058491{col 75}{space 3} .0002381
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0201573{col 34}{space 2} .0130129{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-.0456712{col 75}{space 3} .0053566
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0068163{col 34}{space 2} .0087998{col 45}{space 1}    0.77{col 54}{space 3}0.439{col 62}{space 4} -.010437{col 75}{space 3} .0240697
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0003452{col 34}{space 2} .0002197{col 45}{space 1}   -1.57{col 54}{space 3}0.116{col 62}{space 4} -.000776{col 75}{space 3} .0000857
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0036659{col 34}{space 2} .0084176{col 45}{space 1}    0.44{col 54}{space 3}0.663{col 62}{space 4}-.0128382{col 75}{space 3} .0201701
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0129195{col 34}{space 2}  .009473{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-.0314928{col 75}{space 3} .0056539
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} -.019279{col 34}{space 2} .0088754{col 45}{space 1}   -2.17{col 54}{space 3}0.030{col 62}{space 4}-.0366807{col 75}{space 3}-.0018773
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0988807{col 34}{space 2} .0283453{col 45}{space 1}    3.49{col 54}{space 3}0.000{col 62}{space 4} .0433051{col 75}{space 3} .1544564
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Simulating main parameters.  Please wait....
% of simulations completed: 8% 16% 25% 33% 41% 50% 58% 66% 75% 83% 91% 100% 


Simulating sigma-squared.  Please wait


Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13
{txt}
{com}. 
.                 * Figure 5: The effects of drops in CAI scores (drop of 1 and drop of 2)
.                 dynsim, ldv( lv2clsocgrp) /*
>                 */      scen1(lv2clsocgrp 1.020093 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai1 4)  /*
>                 */      scen2(lv2clsocgrp 1.020093 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai1 3)  /*
>                 */      scen3(lv2clsocgrp 1.020093 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai1 2)  /*
>                 */      n(8) sig(95) sav(CA11backslidingv2clsocgrp)
{txt}{p 0 4 2}
(file {bf}
CA11backslidingv2clsocgrp.dta{rm}
not found)
{p_end}

{com}. 
. 
.                 preserve
{txt}
{com}.                         use CA11backslidingv2clsocgrp.dta, clear
{txt}
{com}.                         twoway (rcapsym lower_1 upper_1 t, msymbol(sh)) (rcapsym lower_2 upper_2 t, msymbol(x)) (rcapsym lower_3 upper_3 t, msymbol(s)), ytitle("V-Dem: Social group equality in civil liberties", size(medlarge)) /*
>                         */ legend(label(1 "Median Comparative Abortion Index #1 Score = 4") label(2 "Abortion Backsiding, Comparative Abortion Index #1 Score = 3") label(3 "Abortion Backsiding, Comparative Abortion Index #1 Score = 2") col(1) pos(6)) /*
>                         */ xtitle("Year", size(medlarge)) xlabel(0(1)8)
{res}{txt}
{com}.                 restore
{txt}
{com}.                 *graph save "Graph" "CAI1 Drops v2clsocgrp.gph", replace 
. 
. 
.                 *Figure 6b: The effects of drops in CAI2 scores (highest mean lowest ) - v2clsocgrp 
.                 use ReplicationDataset.dta, replace
{txt}
{com}. 
. 
.                 reg v2clsocgrp lv2clsocgrp   lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 19066.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13219

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          v2clsocgrp{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}lv2clsocgrp {c |}{col 22}{res}{space 2} .9889632{col 34}{space 2} .0038329{col 45}{space 1}  258.02{col 54}{space 3}0.000{col 62}{space 4} .9814482{col 75}{space 3} .9964782
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .0154936{col 34}{space 2}   .00816{col 45}{space 1}    1.90{col 54}{space 3}0.058{col 62}{space 4}-.0005054{col 75}{space 3} .0314927
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0007109{col 34}{space 2} .0005864{col 45}{space 1}    1.21{col 54}{space 3}0.225{col 62}{space 4}-.0004388{col 75}{space 3} .0018607
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0041555{col 34}{space 2} .0015401{col 45}{space 1}   -2.70{col 54}{space 3}0.007{col 62}{space 4}-.0071752{col 75}{space 3}-.0011358
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-.0027058{col 34}{space 2} .0015427{col 45}{space 1}   -1.75{col 54}{space 3}0.080{col 62}{space 4}-.0057305{col 75}{space 3} .0003188
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} -.019411{col 34}{space 2} .0129054{col 45}{space 1}   -1.50{col 54}{space 3}0.133{col 62}{space 4}-.0447141{col 75}{space 3} .0058921
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0069002{col 34}{space 2} .0088172{col 45}{space 1}    0.78{col 54}{space 3}0.434{col 62}{space 4}-.0103874{col 75}{space 3} .0241879
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0003297{col 34}{space 2} .0002168{col 45}{space 1}   -1.52{col 54}{space 3}0.128{col 62}{space 4}-.0007547{col 75}{space 3} .0000954
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0030537{col 34}{space 2} .0084738{col 45}{space 1}    0.36{col 54}{space 3}0.719{col 62}{space 4}-.0135606{col 75}{space 3} .0196681
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0129746{col 34}{space 2}   .00954{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}-.0316794{col 75}{space 3} .0057302
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.0192769{col 34}{space 2} .0090642{col 45}{space 1}   -2.13{col 54}{space 3}0.034{col 62}{space 4}-.0370488{col 75}{space 3}-.0015051
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1013681{col 34}{space 2} .0285327{col 45}{space 1}    3.55{col 54}{space 3}0.000{col 62}{space 4} .0454253{col 75}{space 3}  .157311
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 sum lv2clsocgrp lcai_cai2 if e(sample), detail

         {txt}Social group equality in respect for civil
                        liberties t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}   -1.559         -2.054
{txt} 5%    {res}    -.986         -1.706
{txt}10%    {res}    -.781         -1.706       {txt}Obs         {res}      3,413
{txt}25%    {res}     .404         -1.706       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res}    1.117                      {txt}Mean          {res} 1.020093
                        {txt}Largest       Std. dev.     {res} 1.131598
{txt}75%    {res}    1.758          3.511
{txt}90%    {res}    2.448          3.511       {txt}Variance      {res} 1.280514
{txt}95%    {res}    2.671          3.511       {txt}Skewness      {res}-.3712516
{txt}99%    {res}    3.145          3.511       {txt}Kurtosis      {res}  2.54292

          {txt}Comparative Abortion Index 2 (0 to 1) t-1
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}      .01              0
{txt}10%    {res}      .01              0       {txt}Obs         {res}      3,413
{txt}25%    {res}      .05              0       {txt}Sum of wgt. {res}      3,413

{txt}50%    {res}       .4                      {txt}Mean          {res} .4807181
                        {txt}Largest       Std. dev.     {res} .4083669
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1667635
{txt}95%    {res}        1              1       {txt}Skewness      {res} .1965267
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  1.38169
{txt}
{com}.                 estsimp reg v2clsocgrp  lv2clsocgrp lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 19066.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13219

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          v2clsocgrp{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}lv2clsocgrp {c |}{col 22}{res}{space 2} .9889632{col 34}{space 2} .0038329{col 45}{space 1}  258.02{col 54}{space 3}0.000{col 62}{space 4} .9814482{col 75}{space 3} .9964782
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .0154936{col 34}{space 2}   .00816{col 45}{space 1}    1.90{col 54}{space 3}0.058{col 62}{space 4}-.0005054{col 75}{space 3} .0314927
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0007109{col 34}{space 2} .0005864{col 45}{space 1}    1.21{col 54}{space 3}0.225{col 62}{space 4}-.0004388{col 75}{space 3} .0018607
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0041555{col 34}{space 2} .0015401{col 45}{space 1}   -2.70{col 54}{space 3}0.007{col 62}{space 4}-.0071752{col 75}{space 3}-.0011358
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-.0027058{col 34}{space 2} .0015427{col 45}{space 1}   -1.75{col 54}{space 3}0.080{col 62}{space 4}-.0057305{col 75}{space 3} .0003188
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} -.019411{col 34}{space 2} .0129054{col 45}{space 1}   -1.50{col 54}{space 3}0.133{col 62}{space 4}-.0447141{col 75}{space 3} .0058921
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .0069002{col 34}{space 2} .0088172{col 45}{space 1}    0.78{col 54}{space 3}0.434{col 62}{space 4}-.0103874{col 75}{space 3} .0241879
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0003297{col 34}{space 2} .0002168{col 45}{space 1}   -1.52{col 54}{space 3}0.128{col 62}{space 4}-.0007547{col 75}{space 3} .0000954
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0030537{col 34}{space 2} .0084738{col 45}{space 1}    0.36{col 54}{space 3}0.719{col 62}{space 4}-.0135606{col 75}{space 3} .0196681
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0129746{col 34}{space 2}   .00954{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}-.0316794{col 75}{space 3} .0057302
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0192769{col 34}{space 2} .0090642{col 45}{space 1}   -2.13{col 54}{space 3}0.034{col 62}{space 4}-.0370488{col 75}{space 3}-.0015051
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1013681{col 34}{space 2} .0285327{col 45}{space 1}    3.55{col 54}{space 3}0.000{col 62}{space 4} .0454253{col 75}{space 3}  .157311
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Simulating main parameters.  Please wait....
% of simulations completed: 8% 16% 25% 33% 41% 50% 58% 66% 75% 83% 91% 100% 


Simulating sigma-squared.  Please wait


Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13
{txt}
{com}.                 dynsim, ldv(lv2clsocgrp ) /*
>                 */      scen1(lv2clsocgrp 1.020093 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai2 1)  /*
>                 */      scen2(lv2clsocgrp 1.020093 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai2 .481)  /*
>                 */      scen3(lv2clsocgrp 1.020093 lpolity2 mean llnwdi_pop mean llnwdi_gdpcapcon2010 mean lintllocation 0 lcivillocation 0  lv2lgfemleg  mean liarda_chcatpct mean liarda_isgenpct  mean  GEO7 0  lcai_cai2 0)  /*
>                 */      n(8) sig(95) sav(CAI2backslidingv2clsocgrp)
{txt}{p 0 4 2}
(file {bf}
CAI2backslidingv2clsocgrp.dta{rm}
not found)
{p_end}

{com}. 
. 
.                 preserve
{txt}
{com}.                         use CAI2backslidingv2clsocgrp, clear
{txt}
{com}.                         twoway (rcapsym lower_1 upper_1 t, msymbol(sh)) (rcapsym lower_2 upper_2 t, msymbol(x)) (rcapsym lower_3 upper_3 t, msymbol(s)), ytitle("V-Dem: Social group equality in civil liberties", size(medlarge)) /*
>                         */ legend(label(1 "Highest Comparative Abortion Index #2 Score  = 1") label(2 "Abortion Backsiding, Mean Comparative Abortion Index #2 Score = 0.481") label(3 "Abortion Backsiding, Lowest Comparative Abortion Index #2 Score = 0") col(1) pos(6)) /*
>                         */ xtitle("Year", size(medlarge)) xlabel(0(1)8)
{res}{txt}
{com}.                 restore
{txt}
{com}.                 *graph save "Graph" "CAI2 Drops v2clsocgrp.gph", replace 
. 
.                 *graph combine "CAI1 Drops v2clsocgrp.gph" "CAI2 Drops v2clsocgrp.gph", altshrink iscale(.7) 
. 
. 
. *Analysis in the Online Appendix
. 
.                 *Table 1: Full Model for the causal mediation model (also shown above)
.                                 *treatment is going from median to 3 or median to 2
.                                                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.                                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai1, continuous ( 4 3)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 1.876e-28}  
Iteration 1:{space 2}EE criterion = {res: 7.733e-32}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:3}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2} -.001768{col 39}{space 2} .0005905{col 50}{space 1}   -2.99{col 59}{space 3}0.003{col 67}{space 4}-.0029253{col 80}{space 3}-.0006108
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0041706{col 39}{space 2} .0020881{col 50}{space 1}   -2.00{col 59}{space 3}0.046{col 67}{space 4}-.0082632{col 80}{space 3}-.0000779
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0059386{col 39}{space 2} .0019792{col 50}{space 1}   -3.00{col 59}{space 3}0.003{col 67}{space 4}-.0098178{col 80}{space 3}-.0020594
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                                 estat proportion
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:3}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai1 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2977165{col 26}{space 2} .1432709{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0169107{col 67}{space 3} .5785224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                                 **outreg2 using Table2RR ,  replace word se label excel
.                                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai1, continuous ( 4 2)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 1.876e-28}  
Iteration 1:{space 2}EE criterion = {res: 9.502e-32}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:2}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0031534{col 39}{space 2} .0012877{col 50}{space 1}   -2.45{col 59}{space 3}0.014{col 67}{space 4}-.0056772{col 80}{space 3}-.0006296
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0083412{col 39}{space 2} .0041762{col 50}{space 1}   -2.00{col 59}{space 3}0.046{col 67}{space 4}-.0165264{col 80}{space 3}-.0001559
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai1 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0114946{col 39}{space 2}  .004067{col 50}{space 1}   -2.83{col 59}{space 3}0.005{col 67}{space 4}-.0194657{col 80}{space 3}-.0035234
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                                 estat proportion 
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:2}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai1 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2743395{col 26}{space 2} .1428238{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}  -.00559{col 67}{space 3} .5542691
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                                 **outreg2 using Table2RR ,  append word se label excel
.                                 *cai2 - from mean to 0
.                                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg   liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai2, continuous ( .481 0)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 2.559e-28}  
Iteration 1:{space 2}EE criterion = {res: 1.356e-31}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 5:.481}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 5:0}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0039646{col 39}{space 2}  .002002{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.0078884{col 80}{space 3}-.0000408
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0128512{col 39}{space 2} .0061127{col 50}{space 1}   -2.10{col 59}{space 3}0.036{col 67}{space 4}-.0248319{col 80}{space 3}-.0008705
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0168158{col 39}{space 2} .0062985{col 50}{space 1}   -2.67{col 59}{space 3}0.008{col 67}{space 4}-.0291606{col 80}{space 3} -.004471
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                                 estat proportion  
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 5:.481}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 5:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai2 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2357662{col 26}{space 2} .1292597{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0175782{col 67}{space 3} .4891105
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                                 **outreg2 using Table2RR ,  append word se label excel
.                                 *cai2 - from 1 to 0
.                                 mediate (theta_mean ltheta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7) (lv2clsocgrp  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai2, continuous ( 1 0)) if e(sample), vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 2.559e-28}  
Iteration 1:{space 2}EE criterion = {res: 8.115e-31}  
{res}
{txt}{col 1}Causal mediation analysis{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lv2clsocgrp
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 2:1}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 2:0}}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               theta_mean{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0082424{col 39}{space 2}  .004162{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.0163998{col 80}{space 3} -.000085
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                       {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0302732{col 39}{space 2} .0120059{col 50}{space 1}   -2.52{col 59}{space 3}0.012{col 67}{space 4}-.0538043{col 80}{space 3} -.006742
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                        {txt}{c |}
{space 16}lcai_cai2 {c |}
{space 16}(1 vs 0)  {c |}{col 27}{res}{space 2}-.0385156{col 39}{space 2}  .011814{col 50}{space 1}   -3.26{col 59}{space 3}0.001{col 67}{space 4}-.0616707{col 80}{space 3}-.0153605
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                                 estat proportion
{res}
{txt}{col 1}Proportion mediated{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,413}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 2:1}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 2:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai2 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2140023{col 26}{space 2}  .118938{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0191119{col 67}{space 3} .4471166
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                                 **outreg2 using Table2RR ,  append word se label excel
. 
.                 *Table 2: Fixed Effects
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.ccode, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(164, 3254) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9744
                                                {txt}Root MSE          =    {res} .22743

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8530789{col 33}{space 2} .0207436{col 44}{space 1}   41.12{col 53}{space 3}0.000{col 61}{space 4}  .812407{col 74}{space 3} .8937507
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0109087{col 33}{space 2} .0055527{col 44}{space 1}    1.96{col 53}{space 3}0.050{col 61}{space 4} .0000216{col 74}{space 3} .0217958
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0038796{col 33}{space 2} .0026347{col 44}{space 1}    1.47{col 53}{space 3}0.141{col 61}{space 4}-.0012862{col 74}{space 3} .0090454
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0303067{col 33}{space 2} .0491332{col 44}{space 1}   -0.62{col 53}{space 3}0.537{col 61}{space 4}-.1266419{col 74}{space 3} .0660285
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0204061{col 33}{space 2}  .018098{col 44}{space 1}    1.13{col 53}{space 3}0.260{col 61}{space 4}-.0150786{col 74}{space 3} .0558908
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0284244{col 33}{space 2} .0270096{col 44}{space 1}   -1.05{col 53}{space 3}0.293{col 61}{space 4} -.081382{col 74}{space 3} .0245332
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0162981{col 33}{space 2} .0263706{col 44}{space 1}   -0.62{col 53}{space 3}0.537{col 61}{space 4}-.0680029{col 74}{space 3} .0354066
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0005668{col 33}{space 2}  .000932{col 44}{space 1}    0.61{col 53}{space 3}0.543{col 61}{space 4}-.0012607{col 74}{space 3} .0023942
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1383294{col 33}{space 2} .0822121{col 44}{space 1}   -1.68{col 53}{space 3}0.093{col 61}{space 4}-.2995222{col 74}{space 3} .0228633
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1908555{col 33}{space 2} .1521291{col 44}{space 1}    1.25{col 53}{space 3}0.210{col 61}{space 4}-.1074231{col 74}{space 3}  .489134
{txt}{space 19} {c |}
{space 14}ccode {c |}
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .3702015{col 33}{space 2} .8814884{col 44}{space 1}    0.42{col 53}{space 3}0.675{col 61}{space 4}-1.358127{col 74}{space 3}  2.09853
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table11RR ,  replace word se label
.                 *Model 2: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.ccode, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(165, 3254) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9744
                                                {txt}Root MSE          =    {res} .22741

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8529457{col 33}{space 2}  .020739{col 44}{space 1}   41.13{col 53}{space 3}0.000{col 61}{space 4} .8122829{col 74}{space 3} .8936084
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0775773{col 33}{space 2}   .03656{col 44}{space 1}    2.12{col 53}{space 3}0.034{col 61}{space 4} .0058944{col 74}{space 3} .1492603
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0039338{col 33}{space 2} .0026395{col 44}{space 1}    1.49{col 53}{space 3}0.136{col 61}{space 4}-.0012416{col 74}{space 3} .0091091
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0259417{col 33}{space 2} .0480315{col 44}{space 1}   -0.54{col 53}{space 3}0.589{col 61}{space 4}-.1201168{col 74}{space 3} .0682334
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .020938{col 33}{space 2} .0181324{col 44}{space 1}    1.15{col 53}{space 3}0.248{col 61}{space 4} -.014614{col 74}{space 3} .0564901
{txt}{space 19} {c |}
{space 7}intllocation {c |}
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{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0161049{col 33}{space 2} .0263782{col 44}{space 1}   -0.61{col 53}{space 3}0.542{col 61}{space 4}-.0678244{col 74}{space 3} .0356146
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
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{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
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{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1969411{col 33}{space 2} .1516822{col 44}{space 1}    1.30{col 53}{space 3}0.194{col 61}{space 4}-.1004612{col 74}{space 3} .4943434
{txt}{space 19} {c |}
{space 14}ccode {c |}
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2783662{col 33}{space 2} .8627258{col 44}{space 1}    0.32{col 53}{space 3}0.747{col 61}{space 4}-1.413174{col 74}{space 3} 1.969907
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table11RR ,  append word se label
.                 *Model 3: social group cl & cai1
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.ccode, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(165, 3254) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9882
                                                {txt}Root MSE          =    {res}   .126

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .841044{col 33}{space 2} .0370405{col 44}{space 1}   22.71{col 53}{space 3}0.000{col 61}{space 4} .7684189{col 74}{space 3}  .913669
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0038283{col 33}{space 2} .0029035{col 44}{space 1}    1.32{col 53}{space 3}0.187{col 61}{space 4}-.0018647{col 74}{space 3} .0095212
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0009618{col 33}{space 2} .0017834{col 44}{space 1}    0.54{col 53}{space 3}0.590{col 61}{space 4}-.0025349{col 74}{space 3} .0044584
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0156427{col 33}{space 2} .0239272{col 44}{space 1}   -0.65{col 53}{space 3}0.513{col 61}{space 4}-.0625566{col 74}{space 3} .0312712
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
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{txt}{space 19} {c |}
{space 7}intllocation {c |}
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{txt}{space 19} {c |}
{space 6}civillocation {c |}
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{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
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{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
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{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
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{txt}{space 19} {c |}
{space 14}ccode {c |}
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .3900546{col 33}{space 2} .4635273{col 44}{space 1}    0.84{col 53}{space 3}0.400{col 61}{space 4}-.5187802{col 74}{space 3}  1.29889
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table11RR ,  append word se label
.                 *Model 4: social group and cai2
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.ccode, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(164, 3254) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9882
                                                {txt}Root MSE          =    {res} .12601

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8414428{col 33}{space 2} .0368862{col 44}{space 1}   22.81{col 53}{space 3}0.000{col 61}{space 4} .7691204{col 74}{space 3} .9137653
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0150961{col 33}{space 2} .0200965{col 44}{space 1}    0.75{col 53}{space 3}0.453{col 61}{space 4} -.024307{col 74}{space 3} .0544993
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0009574{col 33}{space 2} .0017799{col 44}{space 1}    0.54{col 53}{space 3}0.591{col 61}{space 4}-.0025324{col 74}{space 3} .0044472
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
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{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
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{txt}{space 19} {c |}
{space 7}intllocation {c |}
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{txt}{space 19} {c |}
{space 6}civillocation {c |}
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{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
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{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
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{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
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{txt}{space 19} {c |}
{space 14}ccode {c |}
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .3387075{col 33}{space 2} .4540342{col 44}{space 1}    0.75{col 53}{space 3}0.456{col 61}{space 4}-.5515144{col 74}{space 3} 1.228929
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table11RR ,  append  word se label
.                 *Model 5: theta_mean and cai1, with social group cl included 
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.ccode, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(166, 3253) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9744
                                                {txt}Root MSE          =    {res} .22743

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8515241{col 33}{space 2} .0209655{col 44}{space 1}   40.62{col 53}{space 3}0.000{col 61}{space 4} .8104172{col 74}{space 3}  .892631
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0171928{col 33}{space 2} .0200306{col 44}{space 1}    0.86{col 53}{space 3}0.391{col 61}{space 4}-.0220812{col 74}{space 3} .0564667
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0103165{col 33}{space 2} .0055042{col 44}{space 1}    1.87{col 53}{space 3}0.061{col 61}{space 4}-.0004755{col 74}{space 3} .0211085
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0035589{col 33}{space 2} .0025069{col 44}{space 1}    1.42{col 53}{space 3}0.156{col 61}{space 4}-.0013563{col 74}{space 3} .0084742
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0256959{col 33}{space 2} .0489818{col 44}{space 1}   -0.52{col 53}{space 3}0.600{col 61}{space 4}-.1217342{col 74}{space 3} .0703424
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
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{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0276429{col 33}{space 2} .0269771{col 44}{space 1}   -1.02{col 53}{space 3}0.306{col 61}{space 4}-.0805368{col 74}{space 3}  .025251
{txt}{space 19} {c |}
{space 6}civillocation {c |}
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{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
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{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
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{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
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{txt}{space 19} {c |}
{space 14}ccode {c |}
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2860454{col 33}{space 2}  .880649{col 44}{space 1}    0.32{col 53}{space 3}0.745{col 61}{space 4}-1.440637{col 74}{space 3} 2.012728
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table11RR ,  append word se label
.                 *Model 6: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.ccode, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(165, 3253) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9744
                                                {txt}Root MSE          =    {res}  .2274

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8514121{col 33}{space 2} .0209575{col 44}{space 1}   40.63{col 53}{space 3}0.000{col 61}{space 4} .8103208{col 74}{space 3} .8925033
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0170345{col 33}{space 2} .0200561{col 44}{space 1}    0.85{col 53}{space 3}0.396{col 61}{space 4}-.0222894{col 74}{space 3} .0563584
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0739208{col 33}{space 2} .0363335{col 44}{space 1}    2.03{col 53}{space 3}0.042{col 61}{space 4} .0026819{col 74}{space 3} .1451597
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0036137{col 33}{space 2} .0025113{col 44}{space 1}    1.44{col 53}{space 3}0.150{col 61}{space 4}-.0013101{col 74}{space 3} .0085375
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.021668{col 33}{space 2} .0478939{col 44}{space 1}   -0.45{col 53}{space 3}0.651{col 61}{space 4}-.1155733{col 74}{space 3} .0722373
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{txt}{space 15}740  {c |}{col 21}{res}{space 2} .1915996{col 33}{space 2} .0740124{col 44}{space 1}    2.59{col 53}{space 3}0.010{col 61}{space 4}  .046484{col 74}{space 3} .3367152
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{txt}{space 15}950  {c |}{col 21}{res}{space 2} .0821374{col 33}{space 2} .2687526{col 44}{space 1}    0.31{col 53}{space 3}0.760{col 61}{space 4}-.4448039{col 74}{space 3} .6090788
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2006961{col 33}{space 2} .8620827{col 44}{space 1}    0.23{col 53}{space 3}0.816{col 61}{space 4}-1.489584{col 74}{space 3} 1.890976
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table11RR ,  append word se label
. 
.                 *Table 3: Random Effects:
.                 xtreg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,413
{txt}Group variable: {res}ccode                           {txt}Number of groups  = {res}       156

{txt}R-squared:                                      Obs per group:
     Within  = {res}0.7736                                         {txt}min = {res}         1
{txt}     Between = {res}0.9975                                         {txt}avg = {res}      21.9
{txt}     Overall = {res}0.9719                                         {txt}max = {res}        24

                                                {txt}Wald chi2({res}11{txt})     =  {res} 83880.06
{txt}corr(u_i, X) = {res}0{txt} (assumed)                      Prob > chi2       =     {res}0.0000

{txt}{ralign 85:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9541367{col 33}{space 2} .0087887{col 44}{space 1}  108.56{col 53}{space 3}0.000{col 61}{space 4} .9369112{col 74}{space 3} .9713622
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0062225{col 33}{space 2} .0021678{col 44}{space 1}    2.87{col 53}{space 3}0.004{col 61}{space 4} .0019738{col 74}{space 3} .0104713
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0028197{col 33}{space 2} .0008513{col 44}{space 1}    3.31{col 53}{space 3}0.001{col 61}{space 4} .0011512{col 74}{space 3} .0044882
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0197393{col 33}{space 2} .0044158{col 44}{space 1}   -4.47{col 53}{space 3}0.000{col 61}{space 4}-.0283941{col 74}{space 3}-.0110845
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0139955{col 33}{space 2} .0046084{col 44}{space 1}    3.04{col 53}{space 3}0.002{col 61}{space 4} .0049632{col 74}{space 3} .0230277
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0209206{col 33}{space 2} .0252777{col 44}{space 1}   -0.83{col 53}{space 3}0.408{col 61}{space 4} -.070464{col 74}{space 3} .0286228
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0109515{col 33}{space 2}  .018833{col 44}{space 1}    0.58{col 53}{space 3}0.561{col 61}{space 4}-.0259606{col 74}{space 3} .0478635
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0000908{col 33}{space 2} .0004271{col 44}{space 1}    0.21{col 53}{space 3}0.832{col 61}{space 4}-.0007463{col 74}{space 3} .0009279
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0178487{col 33}{space 2} .0169721{col 44}{space 1}    1.05{col 53}{space 3}0.293{col 61}{space 4}-.0154161{col 74}{space 3} .0511135
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0184579{col 33}{space 2} .0164389{col 44}{space 1}   -1.12{col 53}{space 3}0.262{col 61}{space 4}-.0506776{col 74}{space 3} .0137618
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0310038{col 33}{space 2} .0154866{col 44}{space 1}   -2.00{col 53}{space 3}0.045{col 61}{space 4}-.0613569{col 74}{space 3}-.0006506
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .209573{col 33}{space 2}  .064501{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0831535{col 74}{space 3} .3359926
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} .02365269
            {txt}sigma_e {c |} {res} .22764696
                {txt}rho {c |} {res} .01068007{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.                 **outreg2 using Table12RR ,  replace word se label
.                 *Model 2: theta_mean and cai2
.                 xtreg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,413
{txt}Group variable: {res}ccode                           {txt}Number of groups  = {res}       156

{txt}R-squared:                                      Obs per group:
     Within  = {res}0.7736                                         {txt}min = {res}         1
{txt}     Between = {res}0.9975                                         {txt}avg = {res}      21.9
{txt}     Overall = {res}0.9719                                         {txt}max = {res}        24

                                                {txt}Wald chi2({res}11{txt})     =  {res} 83292.67
{txt}corr(u_i, X) = {res}0{txt} (assumed)                      Prob > chi2       =     {res}0.0000

{txt}{ralign 85:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9539497{col 33}{space 2} .0088111{col 44}{space 1}  108.27{col 53}{space 3}0.000{col 61}{space 4} .9366804{col 74}{space 3} .9712191
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0400627{col 33}{space 2} .0137889{col 44}{space 1}    2.91{col 53}{space 3}0.004{col 61}{space 4}  .013037{col 74}{space 3} .0670884
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0028002{col 33}{space 2} .0008497{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4} .0011348{col 74}{space 3} .0044655
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0199007{col 33}{space 2} .0044329{col 44}{space 1}   -4.49{col 53}{space 3}0.000{col 61}{space 4} -.028589{col 74}{space 3}-.0112123
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0138424{col 33}{space 2}  .004598{col 44}{space 1}    3.01{col 53}{space 3}0.003{col 61}{space 4} .0048305{col 74}{space 3} .0228543
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0201876{col 33}{space 2} .0254402{col 44}{space 1}   -0.79{col 53}{space 3}0.427{col 61}{space 4}-.0700494{col 74}{space 3} .0296742
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0111737{col 33}{space 2} .0188779{col 44}{space 1}    0.59{col 53}{space 3}0.554{col 61}{space 4}-.0258262{col 74}{space 3} .0481737
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001036{col 33}{space 2} .0004261{col 44}{space 1}    0.24{col 53}{space 3}0.808{col 61}{space 4}-.0007314{col 74}{space 3} .0009387
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0179118{col 33}{space 2} .0170005{col 44}{space 1}    1.05{col 53}{space 3}0.292{col 61}{space 4}-.0154087{col 74}{space 3} .0512322
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017806{col 33}{space 2} .0165867{col 44}{space 1}   -1.07{col 53}{space 3}0.283{col 61}{space 4}-.0503154{col 74}{space 3} .0147033
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0336932{col 33}{space 2}  .015976{col 44}{space 1}   -2.11{col 53}{space 3}0.035{col 61}{space 4}-.0650055{col 74}{space 3}-.0023809
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2191786{col 33}{space 2} .0658594{col 44}{space 1}    3.33{col 53}{space 3}0.001{col 61}{space 4} .0900965{col 74}{space 3} .3482607
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} .02391773
            {txt}sigma_e {c |} {res} .22762366
                {txt}rho {c |} {res} .01092035{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.                 **outreg2 using Table12RR ,  append word se label
.                 *Model 3: social group cl & cai1
.                 xtreg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,413
{txt}Group variable: {res}ccode                           {txt}Number of groups  = {res}       156

{txt}R-squared:                                      Obs per group:
     Within  = {res}0.7463                                         {txt}min = {res}         1
{txt}     Between = {res}0.9993                                         {txt}avg = {res}      21.9
{txt}     Overall = {res}0.9864                                         {txt}max = {res}        24

                                                {txt}Wald chi2({res}11{txt})     =  {res}206214.21
{txt}corr(u_i, X) = {res}0{txt} (assumed)                      Prob > chi2       =     {res}0.0000

{txt}{ralign 85:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9888189{col 33}{space 2} .0038999{col 44}{space 1}  253.55{col 53}{space 3}0.000{col 61}{space 4} .9811753{col 74}{space 3} .9964625
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027329{col 33}{space 2} .0012758{col 44}{space 1}    2.14{col 53}{space 3}0.032{col 61}{space 4} .0002324{col 74}{space 3} .0052334
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007228{col 33}{space 2} .0006132{col 44}{space 1}    1.18{col 53}{space 3}0.238{col 61}{space 4} -.000479{col 74}{space 3} .0019247
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0041576{col 33}{space 2} .0017993{col 44}{space 1}   -2.31{col 53}{space 3}0.021{col 61}{space 4}-.0076842{col 74}{space 3} -.000631
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0028055{col 33}{space 2} .0016943{col 44}{space 1}   -1.66{col 53}{space 3}0.098{col 61}{space 4}-.0061263{col 74}{space 3} .0005153
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0201573{col 33}{space 2} .0117998{col 44}{space 1}   -1.71{col 53}{space 3}0.088{col 61}{space 4}-.0432845{col 74}{space 3} .0029699
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0068163{col 33}{space 2} .0088812{col 44}{space 1}    0.77{col 53}{space 3}0.443{col 61}{space 4}-.0105905{col 74}{space 3} .0242231
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003452{col 33}{space 2} .0002249{col 44}{space 1}   -1.53{col 53}{space 3}0.125{col 61}{space 4} -.000786{col 74}{space 3} .0000957
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0036659{col 33}{space 2}  .008659{col 44}{space 1}    0.42{col 53}{space 3}0.672{col 61}{space 4}-.0133055{col 74}{space 3} .0206373
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129195{col 33}{space 2} .0092832{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-.0311143{col 74}{space 3} .0052753
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.019279{col 33}{space 2} .0073225{col 44}{space 1}   -2.63{col 53}{space 3}0.008{col 61}{space 4}-.0336309{col 74}{space 3}-.0049271
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0988807{col 33}{space 2} .0324741{col 44}{space 1}    3.04{col 53}{space 3}0.002{col 61}{space 4} .0352327{col 74}{space 3} .1625287
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res}         0
            {txt}sigma_e {c |} {res} .12611109
                {txt}rho {c |} {res}         0{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.                 **outreg2 using Table12RR ,  append word se label
.                 *Model 4: social group and cai2
.                 xtreg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust re 
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,413
{txt}Group variable: {res}ccode                           {txt}Number of groups  = {res}       156

{txt}R-squared:                                      Obs per group:
     Within  = {res}0.7462                                         {txt}min = {res}         1
{txt}     Between = {res}0.9993                                         {txt}avg = {res}      21.9
{txt}     Overall = {res}0.9864                                         {txt}max = {res}        24

                                                {txt}Wald chi2({res}11{txt})     =  {res}207681.39
{txt}corr(u_i, X) = {res}0{txt} (assumed)                      Prob > chi2       =     {res}0.0000

{txt}{ralign 85:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9889632{col 33}{space 2} .0038737{col 44}{space 1}  255.30{col 53}{space 3}0.000{col 61}{space 4} .9813709{col 74}{space 3} .9965554
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0154936{col 33}{space 2} .0074894{col 44}{space 1}    2.07{col 53}{space 3}0.039{col 61}{space 4} .0008146{col 74}{space 3} .0301727
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007109{col 33}{space 2} .0006147{col 44}{space 1}    1.16{col 53}{space 3}0.247{col 61}{space 4}-.0004938{col 74}{space 3} .0019156
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0041555{col 33}{space 2} .0017951{col 44}{space 1}   -2.31{col 53}{space 3}0.021{col 61}{space 4}-.0076738{col 74}{space 3}-.0006372
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0027058{col 33}{space 2} .0016775{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.0059937{col 74}{space 3} .0005821
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.019411{col 33}{space 2}  .011677{col 44}{space 1}   -1.66{col 53}{space 3}0.096{col 61}{space 4}-.0422976{col 74}{space 3} .0034756
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0069002{col 33}{space 2} .0088865{col 44}{space 1}    0.78{col 53}{space 3}0.437{col 61}{space 4}-.0105169{col 74}{space 3} .0243174
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003297{col 33}{space 2} .0002224{col 44}{space 1}   -1.48{col 53}{space 3}0.138{col 61}{space 4}-.0007656{col 74}{space 3} .0001062
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0030537{col 33}{space 2} .0087466{col 44}{space 1}    0.35{col 53}{space 3}0.727{col 61}{space 4}-.0140892{col 74}{space 3} .0201967
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129747{col 33}{space 2} .0092875{col 44}{space 1}   -1.40{col 53}{space 3}0.162{col 61}{space 4}-.0311778{col 74}{space 3} .0052285
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0192769{col 33}{space 2} .0074543{col 44}{space 1}   -2.59{col 53}{space 3}0.010{col 61}{space 4}-.0338872{col 74}{space 3}-.0046667
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1013681{col 33}{space 2} .0324283{col 44}{space 1}    3.13{col 53}{space 3}0.002{col 61}{space 4} .0378097{col 74}{space 3} .1649265
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res}         0
            {txt}sigma_e {c |} {res} .12612577
                {txt}rho {c |} {res}         0{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.                 **outreg2 using Table12RR ,  append  word se label
.                 *Model 5: theta_mean and cai1, with social group cl included 
.                 xtreg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust re 
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,413
{txt}Group variable: {res}ccode                           {txt}Number of groups  = {res}       156

{txt}R-squared:                                      Obs per group:
     Within  = {res}0.7736                                         {txt}min = {res}         1
{txt}     Between = {res}0.9975                                         {txt}avg = {res}      21.9
{txt}     Overall = {res}0.9720                                         {txt}max = {res}        24

                                                {txt}Wald chi2({res}12{txt})     =  {res} 88336.87
{txt}corr(u_i, X) = {res}0{txt} (assumed)                      Prob > chi2       =     {res}0.0000

{txt}{ralign 85:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9450183{col 33}{space 2} .0106099{col 44}{space 1}   89.07{col 53}{space 3}0.000{col 61}{space 4} .9242233{col 74}{space 3} .9658133
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0215516{col 33}{space 2} .0066256{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0085657{col 74}{space 3} .0345376
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0046226{col 33}{space 2} .0022793{col 44}{space 1}    2.03{col 53}{space 3}0.043{col 61}{space 4} .0001552{col 74}{space 3}   .00909
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0016395{col 33}{space 2} .0008642{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0000542{col 74}{space 3} .0033333
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0209027{col 33}{space 2} .0046051{col 44}{space 1}   -4.54{col 53}{space 3}0.000{col 61}{space 4}-.0299286{col 74}{space 3}-.0118768
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0175555{col 33}{space 2} .0055305{col 44}{space 1}    3.17{col 53}{space 3}0.002{col 61}{space 4} .0067159{col 74}{space 3}  .028395
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0094686{col 33}{space 2} .0270278{col 44}{space 1}   -0.35{col 53}{space 3}0.726{col 61}{space 4}-.0624422{col 74}{space 3} .0435049
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0092858{col 33}{space 2} .0185553{col 44}{space 1}    0.50{col 53}{space 3}0.617{col 61}{space 4}-.0270819{col 74}{space 3} .0456534
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001399{col 33}{space 2} .0004223{col 44}{space 1}   -0.33{col 53}{space 3}0.740{col 61}{space 4}-.0009676{col 74}{space 3} .0006878
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0189602{col 33}{space 2} .0178709{col 44}{space 1}    1.06{col 53}{space 3}0.289{col 61}{space 4}-.0160661{col 74}{space 3} .0539865
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0206088{col 33}{space 2}  .016101{col 44}{space 1}   -1.28{col 53}{space 3}0.201{col 61}{space 4}-.0521661{col 74}{space 3} .0109486
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0346604{col 33}{space 2} .0161378{col 44}{space 1}   -2.15{col 53}{space 3}0.032{col 61}{space 4}-.0662899{col 74}{space 3} -.003031
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1958782{col 33}{space 2} .0625031{col 44}{space 1}    3.13{col 53}{space 3}0.002{col 61}{space 4} .0733744{col 74}{space 3} .3183819
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} .02388109
            {txt}sigma_e {c |} {res} .22764414
                {txt}rho {c |} {res} .01088534{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.                 **outreg2 using Table12RR ,  append word se label
.                 *Model 6: theta_mean and cai2
.                 xtreg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust re 
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,413
{txt}Group variable: {res}ccode                           {txt}Number of groups  = {res}       156

{txt}R-squared:                                      Obs per group:
     Within  = {res}0.7736                                         {txt}min = {res}         1
{txt}     Between = {res}0.9974                                         {txt}avg = {res}      21.9
{txt}     Overall = {res}0.9720                                         {txt}max = {res}        24

                                                {txt}Wald chi2({res}12{txt})     =  {res} 87905.11
{txt}corr(u_i, X) = {res}0{txt} (assumed)                      Prob > chi2       =     {res}0.0000

{txt}{ralign 85:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .944821{col 33}{space 2}  .010621{col 44}{space 1}   88.96{col 53}{space 3}0.000{col 61}{space 4} .9240043{col 74}{space 3} .9656378
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0215827{col 33}{space 2} .0066168{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4} .0086141{col 74}{space 3} .0345513
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0306286{col 33}{space 2} .0143987{col 44}{space 1}    2.13{col 53}{space 3}0.033{col 61}{space 4} .0024077{col 74}{space 3} .0588495
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0016208{col 33}{space 2} .0008663{col 44}{space 1}    1.87{col 53}{space 3}0.061{col 61}{space 4}-.0000771{col 74}{space 3} .0033187
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210538{col 33}{space 2} .0046107{col 44}{space 1}   -4.57{col 53}{space 3}0.000{col 61}{space 4}-.0300906{col 74}{space 3} -.012017
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0173773{col 33}{space 2} .0055134{col 44}{space 1}    3.15{col 53}{space 3}0.002{col 61}{space 4} .0065712{col 74}{space 3} .0281833
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0090426{col 33}{space 2} .0271582{col 44}{space 1}   -0.33{col 53}{space 3}0.739{col 61}{space 4}-.0622717{col 74}{space 3} .0441866
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0094567{col 33}{space 2} .0185789{col 44}{space 1}    0.51{col 53}{space 3}0.611{col 61}{space 4}-.0269572{col 74}{space 3} .0458706
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001353{col 33}{space 2} .0004229{col 44}{space 1}   -0.32{col 53}{space 3}0.749{col 61}{space 4}-.0009642{col 74}{space 3} .0006936
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0192891{col 33}{space 2} .0178922{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4} -.015779{col 74}{space 3} .0543573
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.019981{col 33}{space 2} .0162054{col 44}{space 1}   -1.23{col 53}{space 3}0.218{col 61}{space 4}-.0517429{col 74}{space 3}  .011781
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0371852{col 33}{space 2} .0166892{col 44}{space 1}   -2.23{col 53}{space 3}0.026{col 61}{space 4}-.0698953{col 74}{space 3} -.004475
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2036613{col 33}{space 2} .0637261{col 44}{space 1}    3.20{col 53}{space 3}0.001{col 61}{space 4} .0787604{col 74}{space 3} .3285623
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} .02410334
            {txt}sigma_e {c |} {res} .22762151
                {txt}rho {c |} {res} .01108881{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.                 **outreg2 using Table12RR ,  append word se label
. 
. 
.                 *Table 4: Yearly Fixed effects:
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}F(33, 3387)       =  {res}  5295.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res}  .2327

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9616304{col 33}{space 2} .0060703{col 44}{space 1}  158.42{col 53}{space 3}0.000{col 61}{space 4} .9497286{col 74}{space 3} .9735323
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0034397{col 33}{space 2} .0016898{col 44}{space 1}    2.04{col 53}{space 3}0.042{col 61}{space 4} .0001265{col 74}{space 3} .0067529
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027217{col 33}{space 2} .0008967{col 44}{space 1}    3.04{col 53}{space 3}0.002{col 61}{space 4} .0009636{col 74}{space 3} .0044799
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0165293{col 33}{space 2} .0035264{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0234433{col 74}{space 3}-.0096152
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0127107{col 33}{space 2}  .003947{col 44}{space 1}    3.22{col 53}{space 3}0.001{col 61}{space 4}  .004972{col 74}{space 3} .0204495
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0221595{col 33}{space 2}  .022723{col 44}{space 1}   -0.98{col 53}{space 3}0.330{col 61}{space 4}-.0667117{col 74}{space 3} .0223927
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0136395{col 33}{space 2} .0161937{col 44}{space 1}    0.84{col 53}{space 3}0.400{col 61}{space 4} -.018111{col 74}{space 3} .0453899
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0002944{col 33}{space 2} .0006033{col 44}{space 1}    0.49{col 53}{space 3}0.626{col 61}{space 4}-.0008884{col 74}{space 3} .0014773
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0177858{col 33}{space 2} .0113241{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4} -.004417{col 74}{space 3} .0399887
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0163447{col 33}{space 2} .0179106{col 44}{space 1}   -0.91{col 53}{space 3}0.362{col 61}{space 4}-.0514613{col 74}{space 3}  .018772
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0348309{col 33}{space 2} .0332781{col 44}{space 1}   -1.05{col 53}{space 3}0.295{col 61}{space 4}-.1000781{col 74}{space 3} .0304164
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0041457{col 33}{space 2} .0395555{col 44}{space 1}    0.10{col 53}{space 3}0.917{col 61}{space 4}-.0734093{col 74}{space 3} .0817007
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0145532{col 33}{space 2} .0323176{col 44}{space 1}   -0.45{col 53}{space 3}0.653{col 61}{space 4}-.0779172{col 74}{space 3} .0488108
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0245086{col 33}{space 2} .0303193{col 44}{space 1}   -0.81{col 53}{space 3}0.419{col 61}{space 4}-.0839547{col 74}{space 3} .0349375
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0516178{col 33}{space 2} .0323212{col 44}{space 1}   -1.60{col 53}{space 3}0.110{col 61}{space 4}-.1149888{col 74}{space 3} .0117532
{txt}{space 14}1999  {c |}{col 21}{res}{space 2}-.0202461{col 33}{space 2} .0340702{col 44}{space 1}   -0.59{col 53}{space 3}0.552{col 61}{space 4}-.0870464{col 74}{space 3} .0465542
{txt}{space 14}2000  {c |}{col 21}{res}{space 2}-.0104041{col 33}{space 2} .0322779{col 44}{space 1}   -0.32{col 53}{space 3}0.747{col 61}{space 4}-.0736902{col 74}{space 3} .0528821
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0430842{col 33}{space 2} .0339579{col 44}{space 1}   -1.27{col 53}{space 3}0.205{col 61}{space 4}-.1096643{col 74}{space 3} .0234958
{txt}{space 14}2002  {c |}{col 21}{res}{space 2}-.0160809{col 33}{space 2} .0320336{col 44}{space 1}   -0.50{col 53}{space 3}0.616{col 61}{space 4} -.078888{col 74}{space 3} .0467262
{txt}{space 14}2003  {c |}{col 21}{res}{space 2}-.0203739{col 33}{space 2} .0290889{col 44}{space 1}   -0.70{col 53}{space 3}0.484{col 61}{space 4}-.0774075{col 74}{space 3} .0366598
{txt}{space 14}2004  {c |}{col 21}{res}{space 2}-.0077641{col 33}{space 2} .0348253{col 44}{space 1}   -0.22{col 53}{space 3}0.824{col 61}{space 4}-.0760448{col 74}{space 3} .0605167
{txt}{space 14}2005  {c |}{col 21}{res}{space 2}-.0655665{col 33}{space 2} .0359583{col 44}{space 1}   -1.82{col 53}{space 3}0.068{col 61}{space 4}-.1360687{col 74}{space 3} .0049356
{txt}{space 14}2006  {c |}{col 21}{res}{space 2}-.0227631{col 33}{space 2} .0342959{col 44}{space 1}   -0.66{col 53}{space 3}0.507{col 61}{space 4}-.0900059{col 74}{space 3} .0444798
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}-.0167228{col 33}{space 2} .0340037{col 44}{space 1}   -0.49{col 53}{space 3}0.623{col 61}{space 4}-.0833926{col 74}{space 3} .0499471
{txt}{space 14}2008  {c |}{col 21}{res}{space 2}-.0296103{col 33}{space 2}  .029899{col 44}{space 1}   -0.99{col 53}{space 3}0.322{col 61}{space 4}-.0882322{col 74}{space 3} .0290116
{txt}{space 14}2009  {c |}{col 21}{res}{space 2} -.040239{col 33}{space 2} .0364856{col 44}{space 1}   -1.10{col 53}{space 3}0.270{col 61}{space 4} -.111775{col 74}{space 3}  .031297
{txt}{space 14}2010  {c |}{col 21}{res}{space 2}-.0066389{col 33}{space 2} .0308119{col 44}{space 1}   -0.22{col 53}{space 3}0.829{col 61}{space 4}-.0670508{col 74}{space 3} .0537729
{txt}{space 14}2011  {c |}{col 21}{res}{space 2}-.0456689{col 33}{space 2} .0339573{col 44}{space 1}   -1.34{col 53}{space 3}0.179{col 61}{space 4}-.1122478{col 74}{space 3} .0209101
{txt}{space 14}2012  {c |}{col 21}{res}{space 2}-.0060371{col 33}{space 2} .0326608{col 44}{space 1}   -0.18{col 53}{space 3}0.853{col 61}{space 4}-.0700739{col 74}{space 3} .0579996
{txt}{space 14}2013  {c |}{col 21}{res}{space 2}-.0086057{col 33}{space 2} .0295454{col 44}{space 1}   -0.29{col 53}{space 3}0.771{col 61}{space 4}-.0665344{col 74}{space 3}  .049323
{txt}{space 14}2014  {c |}{col 21}{res}{space 2}-.0223665{col 33}{space 2}  .028853{col 44}{space 1}   -0.78{col 53}{space 3}0.438{col 61}{space 4}-.0789376{col 74}{space 3} .0342046
{txt}{space 14}2015  {c |}{col 21}{res}{space 2}-.0383212{col 33}{space 2} .0298885{col 44}{space 1}   -1.28{col 53}{space 3}0.200{col 61}{space 4}-.0969225{col 74}{space 3}   .02028
{txt}{space 14}2016  {c |}{col 21}{res}{space 2}-.0436668{col 33}{space 2} .0295408{col 44}{space 1}   -1.48{col 53}{space 3}0.139{col 61}{space 4}-.1015865{col 74}{space 3} .0142529
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1946411{col 33}{space 2} .0606318{col 44}{space 1}    3.21{col 53}{space 3}0.001{col 61}{space 4} .0757625{col 74}{space 3} .3135196
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table13RR ,  replace word se label
.                 *Model 2: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}F(33, 3387)       =  {res}  5283.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res} .23271

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9616884{col 33}{space 2}  .006062{col 44}{space 1}  158.64{col 53}{space 3}0.000{col 61}{space 4} .9498029{col 74}{space 3} .9735738
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0202201{col 33}{space 2} .0100665{col 44}{space 1}    2.01{col 53}{space 3}0.045{col 61}{space 4}  .000483{col 74}{space 3} .0399571
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027146{col 33}{space 2} .0008964{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0009571{col 74}{space 3} .0044721
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0165313{col 33}{space 2} .0035254{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0234434{col 74}{space 3}-.0096192
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0127478{col 33}{space 2} .0039253{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0050515{col 74}{space 3} .0204441
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0213512{col 33}{space 2} .0227716{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0659987{col 74}{space 3} .0232963
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .013785{col 33}{space 2} .0161987{col 44}{space 1}    0.85{col 53}{space 3}0.395{col 61}{space 4}-.0179752{col 74}{space 3} .0455452
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003055{col 33}{space 2} .0006076{col 44}{space 1}    0.50{col 53}{space 3}0.615{col 61}{space 4}-.0008858{col 74}{space 3} .0014969
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0173153{col 33}{space 2}  .011207{col 44}{space 1}    1.55{col 53}{space 3}0.122{col 61}{space 4}-.0046578{col 74}{space 3} .0392885
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0163433{col 33}{space 2} .0179295{col 44}{space 1}   -0.91{col 53}{space 3}0.362{col 61}{space 4} -.051497{col 74}{space 3} .0188104
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0348043{col 33}{space 2} .0332696{col 44}{space 1}   -1.05{col 53}{space 3}0.296{col 61}{space 4}-.1000349{col 74}{space 3} .0304263
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0041517{col 33}{space 2} .0395428{col 44}{space 1}    0.10{col 53}{space 3}0.916{col 61}{space 4}-.0733785{col 74}{space 3} .0816818
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0145172{col 33}{space 2} .0323071{col 44}{space 1}   -0.45{col 53}{space 3}0.653{col 61}{space 4}-.0778606{col 74}{space 3} .0488262
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0239929{col 33}{space 2}  .030331{col 44}{space 1}   -0.79{col 53}{space 3}0.429{col 61}{space 4}-.0834618{col 74}{space 3} .0354761
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0511173{col 33}{space 2} .0323162{col 44}{space 1}   -1.58{col 53}{space 3}0.114{col 61}{space 4}-.1144785{col 74}{space 3} .0122439
{txt}{space 14}1999  {c |}{col 21}{res}{space 2}-.0197539{col 33}{space 2} .0340574{col 44}{space 1}   -0.58{col 53}{space 3}0.562{col 61}{space 4}-.0865289{col 74}{space 3} .0470212
{txt}{space 14}2000  {c |}{col 21}{res}{space 2}-.0097221{col 33}{space 2} .0322759{col 44}{space 1}   -0.30{col 53}{space 3}0.763{col 61}{space 4}-.0730044{col 74}{space 3} .0535602
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0424119{col 33}{space 2}  .033982{col 44}{space 1}   -1.25{col 53}{space 3}0.212{col 61}{space 4}-.1090393{col 74}{space 3} .0242155
{txt}{space 14}2002  {c |}{col 21}{res}{space 2}-.0154274{col 33}{space 2} .0320434{col 44}{space 1}   -0.48{col 53}{space 3}0.630{col 61}{space 4}-.0782537{col 74}{space 3} .0473989
{txt}{space 14}2003  {c |}{col 21}{res}{space 2}-.0197025{col 33}{space 2} .0291085{col 44}{space 1}   -0.68{col 53}{space 3}0.499{col 61}{space 4}-.0767745{col 74}{space 3} .0373696
{txt}{space 14}2004  {c |}{col 21}{res}{space 2}-.0070928{col 33}{space 2} .0348704{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0754618{col 74}{space 3} .0612763
{txt}{space 14}2005  {c |}{col 21}{res}{space 2}-.0648931{col 33}{space 2} .0359536{col 44}{space 1}   -1.80{col 53}{space 3}0.071{col 61}{space 4}-.1353859{col 74}{space 3} .0055998
{txt}{space 14}2006  {c |}{col 21}{res}{space 2}-.0220907{col 33}{space 2}  .034302{col 44}{space 1}   -0.64{col 53}{space 3}0.520{col 61}{space 4}-.0893453{col 74}{space 3} .0451639
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}-.0160686{col 33}{space 2} .0339949{col 44}{space 1}   -0.47{col 53}{space 3}0.636{col 61}{space 4}-.0827212{col 74}{space 3} .0505841
{txt}{space 14}2008  {c |}{col 21}{res}{space 2}-.0288367{col 33}{space 2} .0299232{col 44}{space 1}   -0.96{col 53}{space 3}0.335{col 61}{space 4}-.0875061{col 74}{space 3} .0298326
{txt}{space 14}2009  {c |}{col 21}{res}{space 2}-.0394851{col 33}{space 2} .0364631{col 44}{space 1}   -1.08{col 53}{space 3}0.279{col 61}{space 4}-.1109771{col 74}{space 3} .0320069
{txt}{space 14}2010  {c |}{col 21}{res}{space 2}-.0058858{col 33}{space 2} .0308419{col 44}{space 1}   -0.19{col 53}{space 3}0.849{col 61}{space 4}-.0663564{col 74}{space 3} .0545848
{txt}{space 14}2011  {c |}{col 21}{res}{space 2}-.0449452{col 33}{space 2} .0340289{col 44}{space 1}   -1.32{col 53}{space 3}0.187{col 61}{space 4}-.1116645{col 74}{space 3}  .021774
{txt}{space 14}2012  {c |}{col 21}{res}{space 2}-.0054833{col 33}{space 2} .0326856{col 44}{space 1}   -0.17{col 53}{space 3}0.867{col 61}{space 4}-.0695688{col 74}{space 3} .0586022
{txt}{space 14}2013  {c |}{col 21}{res}{space 2}-.0080502{col 33}{space 2} .0295772{col 44}{space 1}   -0.27{col 53}{space 3}0.786{col 61}{space 4}-.0660411{col 74}{space 3} .0499407
{txt}{space 14}2014  {c |}{col 21}{res}{space 2}-.0216274{col 33}{space 2} .0289028{col 44}{space 1}   -0.75{col 53}{space 3}0.454{col 61}{space 4}-.0782961{col 74}{space 3} .0350414
{txt}{space 14}2015  {c |}{col 21}{res}{space 2}-.0376014{col 33}{space 2}  .029921{col 44}{space 1}   -1.26{col 53}{space 3}0.209{col 61}{space 4}-.0962664{col 74}{space 3} .0210637
{txt}{space 14}2016  {c |}{col 21}{res}{space 2}-.0429425{col 33}{space 2} .0295778{col 44}{space 1}   -1.45{col 53}{space 3}0.147{col 61}{space 4}-.1009347{col 74}{space 3} .0150496
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1978232{col 33}{space 2} .0604669{col 44}{space 1}    3.27{col 53}{space 3}0.001{col 61}{space 4} .0792679{col 74}{space 3} .3163785
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table13RR ,  append word se label
.                 *Model 3: social group cl & cai1
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}F(33, 3387)       =  {res} 11633.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9866
                                                {txt}Root MSE          =    {res} .13152

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9870883{col 33}{space 2} .0040583{col 44}{space 1}  243.23{col 53}{space 3}0.000{col 61}{space 4} .9791314{col 74}{space 3} .9950453
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0012898{col 33}{space 2} .0011361{col 44}{space 1}    1.14{col 53}{space 3}0.256{col 61}{space 4}-.0009376{col 74}{space 3} .0035173
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0010785{col 33}{space 2} .0006032{col 44}{space 1}    1.79{col 53}{space 3}0.074{col 61}{space 4}-.0001041{col 74}{space 3} .0022612
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0039724{col 33}{space 2} .0015054{col 44}{space 1}   -2.64{col 53}{space 3}0.008{col 61}{space 4}-.0069239{col 74}{space 3}-.0010209
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0016349{col 33}{space 2}  .001496{col 44}{space 1}   -1.09{col 53}{space 3}0.275{col 61}{space 4}-.0045681{col 74}{space 3} .0012983
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0193324{col 33}{space 2}  .012679{col 44}{space 1}   -1.52{col 53}{space 3}0.127{col 61}{space 4}-.0441916{col 74}{space 3} .0055268
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0060907{col 33}{space 2} .0087894{col 44}{space 1}    0.69{col 53}{space 3}0.488{col 61}{space 4}-.0111423{col 74}{space 3} .0233238
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001722{col 33}{space 2}  .000222{col 44}{space 1}    0.78{col 53}{space 3}0.438{col 61}{space 4} -.000263{col 74}{space 3} .0006074
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0012252{col 33}{space 2} .0081255{col 44}{space 1}    0.15{col 53}{space 3}0.880{col 61}{space 4}-.0147062{col 74}{space 3} .0171567
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0086927{col 33}{space 2} .0090436{col 44}{space 1}   -0.96{col 53}{space 3}0.337{col 61}{space 4}-.0264242{col 74}{space 3} .0090389
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2} .0084969{col 33}{space 2}  .026324{col 44}{space 1}    0.32{col 53}{space 3}0.747{col 61}{space 4}-.0431156{col 74}{space 3} .0601094
{txt}{space 14}1995  {c |}{col 21}{res}{space 2}   .01562{col 33}{space 2} .0189503{col 44}{space 1}    0.82{col 53}{space 3}0.410{col 61}{space 4}-.0215352{col 74}{space 3} .0527751
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0081601{col 33}{space 2} .0139487{col 44}{space 1}   -0.59{col 53}{space 3}0.559{col 61}{space 4}-.0355088{col 74}{space 3} .0191886
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0150148{col 33}{space 2} .0172105{col 44}{space 1}   -0.87{col 53}{space 3}0.383{col 61}{space 4}-.0487589{col 74}{space 3} .0187293
{txt}{space 14}1998  {c |}{col 21}{res}{space 2} .0043297{col 33}{space 2} .0158242{col 44}{space 1}    0.27{col 53}{space 3}0.784{col 61}{space 4}-.0266962{col 74}{space 3} .0353557
{txt}{space 14}1999  {c |}{col 21}{res}{space 2}   .00608{col 33}{space 2} .0172856{col 44}{space 1}    0.35{col 53}{space 3}0.725{col 61}{space 4}-.0278113{col 74}{space 3} .0399712
{txt}{space 14}2000  {c |}{col 21}{res}{space 2} .0331995{col 33}{space 2} .0241726{col 44}{space 1}    1.37{col 53}{space 3}0.170{col 61}{space 4}-.0141949{col 74}{space 3}  .080594
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0167755{col 33}{space 2} .0150554{col 44}{space 1}   -1.11{col 53}{space 3}0.265{col 61}{space 4} -.046294{col 74}{space 3} .0127431
{txt}{space 14}2002  {c |}{col 21}{res}{space 2}-.0008013{col 33}{space 2} .0149345{col 44}{space 1}   -0.05{col 53}{space 3}0.957{col 61}{space 4}-.0300828{col 74}{space 3} .0284802
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} .0140395{col 33}{space 2}  .019108{col 44}{space 1}    0.73{col 53}{space 3}0.463{col 61}{space 4}-.0234249{col 74}{space 3} .0515038
{txt}{space 14}2004  {c |}{col 21}{res}{space 2}-.0052188{col 33}{space 2} .0158927{col 44}{space 1}   -0.33{col 53}{space 3}0.743{col 61}{space 4} -.036379{col 74}{space 3} .0259414
{txt}{space 14}2005  {c |}{col 21}{res}{space 2}-.0176906{col 33}{space 2} .0183282{col 44}{space 1}   -0.97{col 53}{space 3}0.335{col 61}{space 4}-.0536261{col 74}{space 3} .0182449
{txt}{space 14}2006  {c |}{col 21}{res}{space 2} .0005567{col 33}{space 2} .0161652{col 44}{space 1}    0.03{col 53}{space 3}0.973{col 61}{space 4}-.0311378{col 74}{space 3} .0322513
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}-.0036486{col 33}{space 2} .0142615{col 44}{space 1}   -0.26{col 53}{space 3}0.798{col 61}{space 4}-.0316106{col 74}{space 3} .0243133
{txt}{space 14}2008  {c |}{col 21}{res}{space 2}-.0071734{col 33}{space 2}   .01536{col 44}{space 1}   -0.47{col 53}{space 3}0.641{col 61}{space 4}-.0372893{col 74}{space 3} .0229424
{txt}{space 14}2009  {c |}{col 21}{res}{space 2}-.0103085{col 33}{space 2} .0142662{col 44}{space 1}   -0.72{col 53}{space 3}0.470{col 61}{space 4}-.0382798{col 74}{space 3} .0176628
{txt}{space 14}2010  {c |}{col 21}{res}{space 2} .0112083{col 33}{space 2} .0170447{col 44}{space 1}    0.66{col 53}{space 3}0.511{col 61}{space 4}-.0222108{col 74}{space 3} .0446273
{txt}{space 14}2011  {c |}{col 21}{res}{space 2}-.0080557{col 33}{space 2} .0147715{col 44}{space 1}   -0.55{col 53}{space 3}0.586{col 61}{space 4}-.0370177{col 74}{space 3} .0209064
{txt}{space 14}2012  {c |}{col 21}{res}{space 2}-.0111602{col 33}{space 2} .0142474{col 44}{space 1}   -0.78{col 53}{space 3}0.433{col 61}{space 4}-.0390946{col 74}{space 3} .0167741
{txt}{space 14}2013  {c |}{col 21}{res}{space 2} -.038857{col 33}{space 2} .0225253{col 44}{space 1}   -1.73{col 53}{space 3}0.085{col 61}{space 4}-.0830217{col 74}{space 3} .0053076
{txt}{space 14}2014  {c |}{col 21}{res}{space 2} -.022429{col 33}{space 2} .0179214{col 44}{space 1}   -1.25{col 53}{space 3}0.211{col 61}{space 4}-.0575668{col 74}{space 3} .0127087
{txt}{space 14}2015  {c |}{col 21}{res}{space 2}-.0254462{col 33}{space 2} .0173125{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-.0593902{col 74}{space 3} .0084978
{txt}{space 14}2016  {c |}{col 21}{res}{space 2}-.0436608{col 33}{space 2} .0192416{col 44}{space 1}   -2.27{col 53}{space 3}0.023{col 61}{space 4}-.0813871{col 74}{space 3}-.0059345
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0886226{col 33}{space 2} .0324975{col 44}{space 1}    2.73{col 53}{space 3}0.006{col 61}{space 4} .0249058{col 74}{space 3} .1523394
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table13RR ,  append word se label
.                 *Model 4: social group and cai2
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}F(33, 3387)       =  {res} 11583.00
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9866
                                                {txt}Root MSE          =    {res} .13153

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9872959{col 33}{space 2}  .004005{col 44}{space 1}  246.51{col 53}{space 3}0.000{col 61}{space 4} .9794434{col 74}{space 3} .9951485
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0057533{col 33}{space 2} .0066731{col 44}{space 1}    0.86{col 53}{space 3}0.389{col 61}{space 4}-.0073305{col 74}{space 3}  .018837
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .001067{col 33}{space 2} .0006003{col 44}{space 1}    1.78{col 53}{space 3}0.076{col 61}{space 4}-.0001101{col 74}{space 3}  .002244
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0039469{col 33}{space 2} .0015068{col 44}{space 1}   -2.62{col 53}{space 3}0.009{col 61}{space 4}-.0069012{col 74}{space 3}-.0009926
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0014447{col 33}{space 2} .0014848{col 44}{space 1}   -0.97{col 53}{space 3}0.331{col 61}{space 4}-.0043558{col 74}{space 3} .0014664
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0187768{col 33}{space 2} .0125823{col 44}{space 1}   -1.49{col 53}{space 3}0.136{col 61}{space 4}-.0434465{col 74}{space 3}  .005893
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0060841{col 33}{space 2} .0088028{col 44}{space 1}    0.69{col 53}{space 3}0.490{col 61}{space 4}-.0111753{col 74}{space 3} .0233434
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .000186{col 33}{space 2} .0002211{col 44}{space 1}    0.84{col 53}{space 3}0.400{col 61}{space 4}-.0002475{col 74}{space 3} .0006195
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003172{col 33}{space 2} .0082169{col 44}{space 1}    0.04{col 53}{space 3}0.969{col 61}{space 4}-.0157934{col 74}{space 3} .0164278
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0089805{col 33}{space 2} .0090808{col 44}{space 1}   -0.99{col 53}{space 3}0.323{col 61}{space 4}-.0267849{col 74}{space 3} .0088239
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2} .0085342{col 33}{space 2}  .026337{col 44}{space 1}    0.32{col 53}{space 3}0.746{col 61}{space 4}-.0431039{col 74}{space 3} .0601722
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0156421{col 33}{space 2} .0189545{col 44}{space 1}    0.83{col 53}{space 3}0.409{col 61}{space 4}-.0215214{col 74}{space 3} .0528055
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0081084{col 33}{space 2} .0139509{col 44}{space 1}   -0.58{col 53}{space 3}0.561{col 61}{space 4}-.0354615{col 74}{space 3} .0192446
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0147611{col 33}{space 2} .0172183{col 44}{space 1}   -0.86{col 53}{space 3}0.391{col 61}{space 4}-.0485203{col 74}{space 3} .0189982
{txt}{space 14}1998  {c |}{col 21}{res}{space 2} .0045726{col 33}{space 2} .0158499{col 44}{space 1}    0.29{col 53}{space 3}0.773{col 61}{space 4}-.0265038{col 74}{space 3}  .035649
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} .0063048{col 33}{space 2}  .017292{col 44}{space 1}    0.36{col 53}{space 3}0.715{col 61}{space 4}-.0275991{col 74}{space 3} .0402086
{txt}{space 14}2000  {c |}{col 21}{res}{space 2} .0335171{col 33}{space 2} .0242366{col 44}{space 1}    1.38{col 53}{space 3}0.167{col 61}{space 4}-.0140027{col 74}{space 3}  .081037
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0164656{col 33}{space 2} .0150687{col 44}{space 1}   -1.09{col 53}{space 3}0.275{col 61}{space 4}-.0460101{col 74}{space 3}  .013079
{txt}{space 14}2002  {c |}{col 21}{res}{space 2}-.0005191{col 33}{space 2} .0149524{col 44}{space 1}   -0.03{col 53}{space 3}0.972{col 61}{space 4}-.0298357{col 74}{space 3} .0287974
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} .0143349{col 33}{space 2} .0190949{col 44}{space 1}    0.75{col 53}{space 3}0.453{col 61}{space 4}-.0231038{col 74}{space 3} .0517735
{txt}{space 14}2004  {c |}{col 21}{res}{space 2}-.0049375{col 33}{space 2}  .015912{col 44}{space 1}   -0.31{col 53}{space 3}0.756{col 61}{space 4}-.0361357{col 74}{space 3} .0262606
{txt}{space 14}2005  {c |}{col 21}{res}{space 2}-.0174361{col 33}{space 2} .0183497{col 44}{space 1}   -0.95{col 53}{space 3}0.342{col 61}{space 4}-.0534137{col 74}{space 3} .0185415
{txt}{space 14}2006  {c |}{col 21}{res}{space 2} .0007995{col 33}{space 2} .0161927{col 44}{space 1}    0.05{col 53}{space 3}0.961{col 61}{space 4} -.030949{col 74}{space 3}  .032548
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}-.0034346{col 33}{space 2} .0142772{col 44}{space 1}   -0.24{col 53}{space 3}0.810{col 61}{space 4}-.0314275{col 74}{space 3} .0245583
{txt}{space 14}2008  {c |}{col 21}{res}{space 2}-.0068978{col 33}{space 2} .0153681{col 44}{space 1}   -0.45{col 53}{space 3}0.654{col 61}{space 4}-.0370294{col 74}{space 3} .0232339
{txt}{space 14}2009  {c |}{col 21}{res}{space 2} -.010034{col 33}{space 2} .0142804{col 44}{space 1}   -0.70{col 53}{space 3}0.482{col 61}{space 4} -.038033{col 74}{space 3} .0179651
{txt}{space 14}2010  {c |}{col 21}{res}{space 2} .0114817{col 33}{space 2}  .017061{col 44}{space 1}    0.67{col 53}{space 3}0.501{col 61}{space 4}-.0219692{col 74}{space 3} .0449327
{txt}{space 14}2011  {c |}{col 21}{res}{space 2}-.0078239{col 33}{space 2} .0147912{col 44}{space 1}   -0.53{col 53}{space 3}0.597{col 61}{space 4}-.0368244{col 74}{space 3} .0211767
{txt}{space 14}2012  {c |}{col 21}{res}{space 2} -.010973{col 33}{space 2} .0142566{col 44}{space 1}   -0.77{col 53}{space 3}0.442{col 61}{space 4}-.0389253{col 74}{space 3} .0169794
{txt}{space 14}2013  {c |}{col 21}{res}{space 2}-.0386876{col 33}{space 2} .0225198{col 44}{space 1}   -1.72{col 53}{space 3}0.086{col 61}{space 4}-.0828415{col 74}{space 3} .0054662
{txt}{space 14}2014  {c |}{col 21}{res}{space 2}-.0221948{col 33}{space 2} .0179598{col 44}{space 1}   -1.24{col 53}{space 3}0.217{col 61}{space 4}-.0574079{col 74}{space 3} .0130183
{txt}{space 14}2015  {c |}{col 21}{res}{space 2} -.025181{col 33}{space 2} .0173191{col 44}{space 1}   -1.45{col 53}{space 3}0.146{col 61}{space 4}-.0591379{col 74}{space 3} .0087759
{txt}{space 14}2016  {c |}{col 21}{res}{space 2}-.0433868{col 33}{space 2} .0192628{col 44}{space 1}   -2.25{col 53}{space 3}0.024{col 61}{space 4}-.0811548{col 74}{space 3}-.0056189
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}   .08877{col 33}{space 2}  .032476{col 44}{space 1}    2.73{col 53}{space 3}0.006{col 61}{space 4} .0250954{col 74}{space 3} .1524445
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table13RR ,  append  word se label
.                 *Model 5: theta_mean and cai1, with social group cl included 
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}F(34, 3386)       =  {res}  5694.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9722
                                                {txt}Root MSE          =    {res} .23225

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9535575{col 33}{space 2} .0068696{col 44}{space 1}  138.81{col 53}{space 3}0.000{col 61}{space 4} .9400885{col 74}{space 3} .9670265
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0183476{col 33}{space 2} .0056437{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0072822{col 74}{space 3} .0294129
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0019351{col 33}{space 2} .0018439{col 44}{space 1}    1.05{col 53}{space 3}0.294{col 61}{space 4}-.0016802{col 74}{space 3} .0055505
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0017041{col 33}{space 2} .0008447{col 44}{space 1}    2.02{col 53}{space 3}0.044{col 61}{space 4}  .000048{col 74}{space 3} .0033603
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0176169{col 33}{space 2} .0035654{col 44}{space 1}   -4.94{col 53}{space 3}0.000{col 61}{space 4}-.0246075{col 74}{space 3}-.0106263
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0159481{col 33}{space 2} .0039665{col 44}{space 1}    4.02{col 53}{space 3}0.000{col 61}{space 4} .0081712{col 74}{space 3}  .023725
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0096942{col 33}{space 2} .0222721{col 44}{space 1}   -0.44{col 53}{space 3}0.663{col 61}{space 4}-.0533623{col 74}{space 3}  .033974
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .012048{col 33}{space 2}  .016058{col 44}{space 1}    0.75{col 53}{space 3}0.453{col 61}{space 4}-.0194363{col 74}{space 3} .0435323
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000187{col 33}{space 2} .0005983{col 44}{space 1}   -0.03{col 53}{space 3}0.975{col 61}{space 4}-.0011917{col 74}{space 3} .0011544
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0194276{col 33}{space 2} .0112924{col 44}{space 1}    1.72{col 53}{space 3}0.085{col 61}{space 4}-.0027129{col 74}{space 3} .0415682
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0197491{col 33}{space 2} .0176086{col 44}{space 1}   -1.12{col 53}{space 3}0.262{col 61}{space 4}-.0542738{col 74}{space 3} .0147755
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0336519{col 33}{space 2} .0333531{col 44}{space 1}   -1.01{col 53}{space 3}0.313{col 61}{space 4}-.0990463{col 74}{space 3} .0317424
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0053964{col 33}{space 2} .0394748{col 44}{space 1}    0.14{col 53}{space 3}0.891{col 61}{space 4}-.0720004{col 74}{space 3} .0827932
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0131485{col 33}{space 2} .0322078{col 44}{space 1}   -0.41{col 53}{space 3}0.683{col 61}{space 4}-.0762972{col 74}{space 3} .0500002
{txt}{space 14}1997  {c |}{col 21}{res}{space 2} -.022464{col 33}{space 2} .0301748{col 44}{space 1}   -0.74{col 53}{space 3}0.457{col 61}{space 4}-.0816266{col 74}{space 3} .0366987
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0490783{col 33}{space 2} .0323012{col 44}{space 1}   -1.52{col 53}{space 3}0.129{col 61}{space 4}  -.11241{col 74}{space 3} .0142535
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} -.017597{col 33}{space 2} .0340553{col 44}{space 1}   -0.52{col 53}{space 3}0.605{col 61}{space 4} -.084368{col 74}{space 3}  .049174
{txt}{space 14}2000  {c |}{col 21}{res}{space 2}-.0073139{col 33}{space 2} .0321629{col 44}{space 1}   -0.23{col 53}{space 3}0.820{col 61}{space 4}-.0703746{col 74}{space 3} .0557467
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0400014{col 33}{space 2} .0337897{col 44}{space 1}   -1.18{col 53}{space 3}0.237{col 61}{space 4}-.1062517{col 74}{space 3}  .026249
{txt}{space 14}2002  {c |}{col 21}{res}{space 2}-.0128217{col 33}{space 2} .0319592{col 44}{space 1}   -0.40{col 53}{space 3}0.688{col 61}{space 4} -.075483{col 74}{space 3} .0498396
{txt}{space 14}2003  {c |}{col 21}{res}{space 2}-.0163772{col 33}{space 2} .0289335{col 44}{space 1}   -0.57{col 53}{space 3}0.571{col 61}{space 4}-.0731062{col 74}{space 3} .0403517
{txt}{space 14}2004  {c |}{col 21}{res}{space 2}-.0039618{col 33}{space 2} .0347107{col 44}{space 1}   -0.11{col 53}{space 3}0.909{col 61}{space 4}-.0720178{col 74}{space 3} .0640943
{txt}{space 14}2005  {c |}{col 21}{res}{space 2}-.0610062{col 33}{space 2} .0359391{col 44}{space 1}   -1.70{col 53}{space 3}0.090{col 61}{space 4}-.1314706{col 74}{space 3} .0094583
{txt}{space 14}2006  {c |}{col 21}{res}{space 2}-.0180472{col 33}{space 2} .0341226{col 44}{space 1}   -0.53{col 53}{space 3}0.597{col 61}{space 4}-.0849503{col 74}{space 3} .0488558
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}-.0117977{col 33}{space 2} .0338824{col 44}{space 1}   -0.35{col 53}{space 3}0.728{col 61}{space 4}-.0782298{col 74}{space 3} .0546343
{txt}{space 14}2008  {c |}{col 21}{res}{space 2}-.0237203{col 33}{space 2} .0297942{col 44}{space 1}   -0.80{col 53}{space 3}0.426{col 61}{space 4}-.0821368{col 74}{space 3} .0346963
{txt}{space 14}2009  {c |}{col 21}{res}{space 2}-.0340063{col 33}{space 2} .0362061{col 44}{space 1}   -0.94{col 53}{space 3}0.348{col 61}{space 4}-.1049942{col 74}{space 3} .0369817
{txt}{space 14}2010  {c |}{col 21}{res}{space 2} .0002281{col 33}{space 2}  .030678{col 44}{space 1}    0.01{col 53}{space 3}0.994{col 61}{space 4}-.0599211{col 74}{space 3} .0603773
{txt}{space 14}2011  {c |}{col 21}{res}{space 2}-.0388202{col 33}{space 2} .0335894{col 44}{space 1}   -1.16{col 53}{space 3}0.248{col 61}{space 4}-.1046777{col 74}{space 3} .0270374
{txt}{space 14}2012  {c |}{col 21}{res}{space 2} .0009969{col 33}{space 2} .0326483{col 44}{space 1}    0.03{col 53}{space 3}0.976{col 61}{space 4}-.0630154{col 74}{space 3} .0650092
{txt}{space 14}2013  {c |}{col 21}{res}{space 2}-.0007794{col 33}{space 2} .0294176{col 44}{space 1}   -0.03{col 53}{space 3}0.979{col 61}{space 4}-.0584574{col 74}{space 3} .0568987
{txt}{space 14}2014  {c |}{col 21}{res}{space 2}-.0135065{col 33}{space 2} .0287615{col 44}{space 1}   -0.47{col 53}{space 3}0.639{col 61}{space 4}-.0698981{col 74}{space 3} .0428851
{txt}{space 14}2015  {c |}{col 21}{res}{space 2}-.0287009{col 33}{space 2} .0298351{col 44}{space 1}   -0.96{col 53}{space 3}0.336{col 61}{space 4}-.0871975{col 74}{space 3} .0297957
{txt}{space 14}2016  {c |}{col 21}{res}{space 2}-.0333738{col 33}{space 2} .0294743{col 44}{space 1}   -1.13{col 53}{space 3}0.258{col 61}{space 4} -.091163{col 74}{space 3} .0244154
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  .180367{col 33}{space 2} .0598528{col 44}{space 1}    3.01{col 53}{space 3}0.003{col 61}{space 4} .0630158{col 74}{space 3} .2977182
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table13RR ,  append word se label
.                 *Model 6: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year, robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}F(34, 3386)       =  {res}  5677.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9722
                                                {txt}Root MSE          =    {res} .23226

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .953548{col 33}{space 2} .0068686{col 44}{space 1}  138.83{col 53}{space 3}0.000{col 61}{space 4}  .940081{col 74}{space 3}  .967015
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0184205{col 33}{space 2} .0056087{col 44}{space 1}    3.28{col 53}{space 3}0.001{col 61}{space 4} .0074237{col 74}{space 3} .0294172
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0115435{col 33}{space 2} .0109231{col 44}{space 1}    1.06{col 53}{space 3}0.291{col 61}{space 4} -.009873{col 74}{space 3}   .03296
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0016959{col 33}{space 2} .0008451{col 44}{space 1}    2.01{col 53}{space 3}0.045{col 61}{space 4} .0000389{col 74}{space 3} .0033528
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0176274{col 33}{space 2} .0035652{col 44}{space 1}   -4.94{col 53}{space 3}0.000{col 61}{space 4}-.0246175{col 74}{space 3}-.0106374
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .015966{col 33}{space 2} .0039421{col 44}{space 1}    4.05{col 53}{space 3}0.000{col 61}{space 4} .0082368{col 74}{space 3} .0236952
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0092044{col 33}{space 2} .0223003{col 44}{space 1}   -0.41{col 53}{space 3}0.680{col 61}{space 4}-.0529278{col 74}{space 3} .0345191
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0121265{col 33}{space 2} .0160606{col 44}{space 1}    0.76{col 53}{space 3}0.450{col 61}{space 4}-.0193629{col 74}{space 3} .0436159
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000152{col 33}{space 2}  .000602{col 44}{space 1}   -0.03{col 53}{space 3}0.980{col 61}{space 4}-.0011956{col 74}{space 3} .0011652
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0192579{col 33}{space 2} .0111707{col 44}{space 1}    1.72{col 53}{space 3}0.085{col 61}{space 4}-.0026441{col 74}{space 3}   .04116
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0197323{col 33}{space 2} .0176314{col 44}{space 1}   -1.12{col 53}{space 3}0.263{col 61}{space 4}-.0543016{col 74}{space 3} .0148369
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0336339{col 33}{space 2} .0333488{col 44}{space 1}   -1.01{col 53}{space 3}0.313{col 61}{space 4}-.0990197{col 74}{space 3} .0317519
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0054041{col 33}{space 2} .0394661{col 44}{space 1}    0.14{col 53}{space 3}0.891{col 61}{space 4}-.0719757{col 74}{space 3} .0827838
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0131253{col 33}{space 2}  .032201{col 44}{space 1}   -0.41{col 53}{space 3}0.684{col 61}{space 4}-.0762606{col 74}{space 3}   .05001
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0221711{col 33}{space 2} .0301903{col 44}{space 1}   -0.73{col 53}{space 3}0.463{col 61}{space 4}-.0813641{col 74}{space 3} .0370218
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0487906{col 33}{space 2} .0322922{col 44}{space 1}   -1.51{col 53}{space 3}0.131{col 61}{space 4}-.1121049{col 74}{space 3} .0145236
{txt}{space 14}1999  {c |}{col 21}{res}{space 2}-.0173117{col 33}{space 2} .0340336{col 44}{space 1}   -0.51{col 53}{space 3}0.611{col 61}{space 4}-.0840402{col 74}{space 3} .0494167
{txt}{space 14}2000  {c |}{col 21}{res}{space 2}-.0069226{col 33}{space 2} .0321638{col 44}{space 1}   -0.22{col 53}{space 3}0.830{col 61}{space 4} -.069985{col 74}{space 3} .0561398
{txt}{space 14}2001  {c |}{col 21}{res}{space 2} -.039615{col 33}{space 2} .0338283{col 44}{space 1}   -1.17{col 53}{space 3}0.242{col 61}{space 4}-.1059409{col 74}{space 3}  .026711
{txt}{space 14}2002  {c |}{col 21}{res}{space 2}-.0124425{col 33}{space 2}   .03197{col 44}{space 1}   -0.39{col 53}{space 3}0.697{col 61}{space 4}-.0751251{col 74}{space 3}   .05024
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} -.015985{col 33}{space 2} .0289551{col 44}{space 1}   -0.55{col 53}{space 3}0.581{col 61}{space 4}-.0727562{col 74}{space 3} .0407862
{txt}{space 14}2004  {c |}{col 21}{res}{space 2}-.0035689{col 33}{space 2} .0347592{col 44}{space 1}   -0.10{col 53}{space 3}0.918{col 61}{space 4}-.0717201{col 74}{space 3} .0645824
{txt}{space 14}2005  {c |}{col 21}{res}{space 2}-.0606048{col 33}{space 2} .0359332{col 44}{space 1}   -1.69{col 53}{space 3}0.092{col 61}{space 4}-.1310577{col 74}{space 3} .0098481
{txt}{space 14}2006  {c |}{col 21}{res}{space 2}-.0176444{col 33}{space 2} .0341194{col 44}{space 1}   -0.52{col 53}{space 3}0.605{col 61}{space 4}-.0845412{col 74}{space 3} .0492523
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}-.0114014{col 33}{space 2} .0338805{col 44}{space 1}   -0.34{col 53}{space 3}0.737{col 61}{space 4}-.0778298{col 74}{space 3}  .055027
{txt}{space 14}2008  {c |}{col 21}{res}{space 2}-.0232539{col 33}{space 2} .0298189{col 44}{space 1}   -0.78{col 53}{space 3}0.436{col 61}{space 4}-.0817187{col 74}{space 3} .0352109
{txt}{space 14}2009  {c |}{col 21}{res}{space 2}-.0335498{col 33}{space 2} .0361869{col 44}{space 1}   -0.93{col 53}{space 3}0.354{col 61}{space 4}-.1045002{col 74}{space 3} .0374006
{txt}{space 14}2010  {c |}{col 21}{res}{space 2} .0006876{col 33}{space 2} .0307039{col 44}{space 1}    0.02{col 53}{space 3}0.982{col 61}{space 4}-.0595124{col 74}{space 3} .0608876
{txt}{space 14}2011  {c |}{col 21}{res}{space 2}-.0383737{col 33}{space 2} .0336597{col 44}{space 1}   -1.14{col 53}{space 3}0.254{col 61}{space 4}-.1043691{col 74}{space 3} .0276218
{txt}{space 14}2012  {c |}{col 21}{res}{space 2}  .001347{col 33}{space 2} .0326651{col 44}{space 1}    0.04{col 53}{space 3}0.967{col 61}{space 4}-.0626984{col 74}{space 3} .0653924
{txt}{space 14}2013  {c |}{col 21}{res}{space 2} -.000422{col 33}{space 2} .0294426{col 44}{space 1}   -0.01{col 53}{space 3}0.989{col 61}{space 4} -.058149{col 74}{space 3}  .057305
{txt}{space 14}2014  {c |}{col 21}{res}{space 2}-.0130402{col 33}{space 2} .0288021{col 44}{space 1}   -0.45{col 53}{space 3}0.651{col 61}{space 4}-.0695114{col 74}{space 3}  .043431
{txt}{space 14}2015  {c |}{col 21}{res}{space 2}-.0282459{col 33}{space 2} .0298612{col 44}{space 1}   -0.95{col 53}{space 3}0.344{col 61}{space 4}-.0867936{col 74}{space 3} .0303019
{txt}{space 14}2016  {c |}{col 21}{res}{space 2}-.0329135{col 33}{space 2} .0295016{col 44}{space 1}   -1.12{col 53}{space 3}0.265{col 61}{space 4}-.0907562{col 74}{space 3} .0249292
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1822003{col 33}{space 2} .0596739{col 44}{space 1}    3.05{col 53}{space 3}0.002{col 61}{space 4} .0651996{col 74}{space 3} .2992009
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table13RR ,  append word se label
. 
. 
.                 *Table 5: Two way fixed effects:
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year i.ccode , robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(188, 3231) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9749
                                                {txt}Root MSE          =    {res}  .2259

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8445459{col 33}{space 2} .0208265{col 44}{space 1}   40.55{col 53}{space 3}0.000{col 61}{space 4} .8037113{col 74}{space 3} .8853804
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0089027{col 33}{space 2} .0056905{col 44}{space 1}    1.56{col 53}{space 3}0.118{col 61}{space 4}-.0022547{col 74}{space 3} .0200601
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0030452{col 33}{space 2} .0026004{col 44}{space 1}    1.17{col 53}{space 3}0.242{col 61}{space 4}-.0020534{col 74}{space 3} .0081438
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2469427{col 33}{space 2} .0546614{col 44}{space 1}   -4.52{col 53}{space 3}0.000{col 61}{space 4}-.3541171{col 74}{space 3}-.1397682
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0990778{col 33}{space 2} .0243956{col 44}{space 1}   -4.06{col 53}{space 3}0.000{col 61}{space 4}-.1469103{col 74}{space 3}-.0512454
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0324237{col 33}{space 2} .0274235{col 44}{space 1}   -1.18{col 53}{space 3}0.237{col 61}{space 4} -.086193{col 74}{space 3} .0213455
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  -.03042{col 33}{space 2} .0264982{col 44}{space 1}   -1.15{col 53}{space 3}0.251{col 61}{space 4} -.082375{col 74}{space 3} .0215351
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0014665{col 33}{space 2} .0010547{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-.0035344{col 74}{space 3} .0006015
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0342898{col 33}{space 2} .0786397{col 44}{space 1}    0.44{col 53}{space 3}0.663{col 61}{space 4} -.119899{col 74}{space 3} .1884786
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0226128{col 33}{space 2} .1508906{col 44}{space 1}   -0.15{col 53}{space 3}0.881{col 61}{space 4}-.3184637{col 74}{space 3} .2732381
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0275259{col 33}{space 2} .0326965{col 44}{space 1}   -0.84{col 53}{space 3}0.400{col 61}{space 4}-.0916339{col 74}{space 3} .0365821
{txt}{space 14}1995  {c |}{col 21}{res}{space 2}  .017644{col 33}{space 2}  .036634{col 44}{space 1}    0.48{col 53}{space 3}0.630{col 61}{space 4}-.0541842{col 74}{space 3} .0894723
{txt}{space 14}1996  {c |}{col 21}{res}{space 2} .0114055{col 33}{space 2} .0303024{col 44}{space 1}    0.38{col 53}{space 3}0.707{col 61}{space 4}-.0480084{col 74}{space 3} .0708195
{txt}{space 14}1997  {c |}{col 21}{res}{space 2} .0054972{col 33}{space 2} .0301008{col 44}{space 1}    0.18{col 53}{space 3}0.855{col 61}{space 4}-.0535215{col 74}{space 3} .0645158
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0067355{col 33}{space 2} .0316466{col 44}{space 1}   -0.21{col 53}{space 3}0.831{col 61}{space 4} -.068785{col 74}{space 3} .0553139
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} .0306868{col 33}{space 2}  .033605{col 44}{space 1}    0.91{col 53}{space 3}0.361{col 61}{space 4}-.0352024{col 74}{space 3}  .096576
{txt}{space 14}2000  {c |}{col 21}{res}{space 2}  .049334{col 33}{space 2} .0316814{col 44}{space 1}    1.56{col 53}{space 3}0.120{col 61}{space 4}-.0127836{col 74}{space 3} .1114516
{txt}{space 14}2001  {c |}{col 21}{res}{space 2} .0288532{col 33}{space 2} .0346944{col 44}{space 1}    0.83{col 53}{space 3}0.406{col 61}{space 4}-.0391721{col 74}{space 3} .0968784
{txt}{space 14}2002  {c |}{col 21}{res}{space 2} .0611391{col 33}{space 2} .0333263{col 44}{space 1}    1.83{col 53}{space 3}0.067{col 61}{space 4}-.0042037{col 74}{space 3} .1264819
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} .0662856{col 33}{space 2} .0311518{col 44}{space 1}    2.13{col 53}{space 3}0.033{col 61}{space 4} .0052062{col 74}{space 3} .1273649
{txt}{space 14}2004  {c |}{col 21}{res}{space 2} .0923071{col 33}{space 2} .0365211{col 44}{space 1}    2.53{col 53}{space 3}0.012{col 61}{space 4} .0207002{col 74}{space 3}  .163914
{txt}{space 14}2005  {c |}{col 21}{res}{space 2} .0499322{col 33}{space 2}  .038219{col 44}{space 1}    1.31{col 53}{space 3}0.191{col 61}{space 4}-.0250038{col 74}{space 3} .1248682
{txt}{space 14}2006  {c |}{col 21}{res}{space 2} .1012074{col 33}{space 2} .0383956{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0259252{col 74}{space 3} .1764895
{txt}{space 14}2007  {c |}{col 21}{res}{space 2} .1195804{col 33}{space 2} .0383772{col 44}{space 1}    3.12{col 53}{space 3}0.002{col 61}{space 4} .0443342{col 74}{space 3} .1948266
{txt}{space 14}2008  {c |}{col 21}{res}{space 2} .1198589{col 33}{space 2}  .037303{col 44}{space 1}    3.21{col 53}{space 3}0.001{col 61}{space 4}  .046719{col 74}{space 3} .1929988
{txt}{space 14}2009  {c |}{col 21}{res}{space 2} .1202951{col 33}{space 2} .0412642{col 44}{space 1}    2.92{col 53}{space 3}0.004{col 61}{space 4} .0393884{col 74}{space 3} .2012018
{txt}{space 14}2010  {c |}{col 21}{res}{space 2} .1588351{col 33}{space 2} .0383479{col 44}{space 1}    4.14{col 53}{space 3}0.000{col 61}{space 4} .0836464{col 74}{space 3} .2340239
{txt}{space 14}2011  {c |}{col 21}{res}{space 2} .1355271{col 33}{space 2} .0390328{col 44}{space 1}    3.47{col 53}{space 3}0.001{col 61}{space 4} .0589957{col 74}{space 3} .2120586
{txt}{space 14}2012  {c |}{col 21}{res}{space 2}  .180505{col 33}{space 2} .0407087{col 44}{space 1}    4.43{col 53}{space 3}0.000{col 61}{space 4} .1006876{col 74}{space 3} .2603225
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 5.811661{col 33}{space 2} 1.103135{col 44}{space 1}    5.27{col 53}{space 3}0.000{col 61}{space 4} 3.648747{col 74}{space 3} 7.974575
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table14RR ,  replace word se label
.                 *Model 2: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year i.ccode , robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(188, 3231) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9749
                                                {txt}Root MSE          =    {res} .22589

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8444448{col 33}{space 2} .0208224{col 44}{space 1}   40.55{col 53}{space 3}0.000{col 61}{space 4} .8036183{col 74}{space 3} .8852713
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0597705{col 33}{space 2}  .037131{col 44}{space 1}    1.61{col 53}{space 3}0.108{col 61}{space 4}-.0130322{col 74}{space 3} .1325731
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0030852{col 33}{space 2} .0026054{col 44}{space 1}    1.18{col 53}{space 3}0.236{col 61}{space 4}-.0020233{col 74}{space 3} .0081936
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2428587{col 33}{space 2}  .054183{col 44}{space 1}   -4.48{col 53}{space 3}0.000{col 61}{space 4}-.3490952{col 74}{space 3}-.1366223
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0983693{col 33}{space 2} .0244843{col 44}{space 1}   -4.02{col 53}{space 3}0.000{col 61}{space 4}-.1463756{col 74}{space 3} -.050363
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0328304{col 33}{space 2} .0274672{col 44}{space 1}   -1.20{col 53}{space 3}0.232{col 61}{space 4}-.0866852{col 74}{space 3} .0210244
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0302793{col 33}{space 2} .0265097{col 44}{space 1}   -1.14{col 53}{space 3}0.253{col 61}{space 4}-.0822569{col 74}{space 3} .0216983
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0014885{col 33}{space 2} .0010548{col 44}{space 1}   -1.41{col 53}{space 3}0.158{col 61}{space 4}-.0035567{col 74}{space 3} .0005796
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .034181{col 33}{space 2} .0787242{col 44}{space 1}    0.43{col 53}{space 3}0.664{col 61}{space 4}-.1201734{col 74}{space 3} .1885354
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0174299{col 33}{space 2}  .150661{col 44}{space 1}   -0.12{col 53}{space 3}0.908{col 61}{space 4}-.3128307{col 74}{space 3} .2779709
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2} -.027541{col 33}{space 2} .0326877{col 44}{space 1}   -0.84{col 53}{space 3}0.400{col 61}{space 4}-.0916317{col 74}{space 3} .0365496
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0175576{col 33}{space 2} .0366257{col 44}{space 1}    0.48{col 53}{space 3}0.632{col 61}{space 4}-.0542543{col 74}{space 3} .0893696
{txt}{space 14}1996  {c |}{col 21}{res}{space 2} .0112789{col 33}{space 2} .0303101{col 44}{space 1}    0.37{col 53}{space 3}0.710{col 61}{space 4}  -.04815{col 74}{space 3} .0707078
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}  .006453{col 33}{space 2} .0299924{col 44}{space 1}    0.22{col 53}{space 3}0.830{col 61}{space 4} -.052353{col 74}{space 3}  .065259
{txt}{space 14}1998  {c |}{col 21}{res}{space 2} -.005872{col 33}{space 2} .0315355{col 44}{space 1}   -0.19{col 53}{space 3}0.852{col 61}{space 4}-.0677036{col 74}{space 3} .0559596
{txt}{space 14}1999  {c |}{col 21}{res}{space 2}  .031499{col 33}{space 2} .0335109{col 44}{space 1}    0.94{col 53}{space 3}0.347{col 61}{space 4}-.0342057{col 74}{space 3} .0972037
{txt}{space 14}2000  {c |}{col 21}{res}{space 2} .0504449{col 33}{space 2} .0315041{col 44}{space 1}    1.60{col 53}{space 3}0.109{col 61}{space 4} -.011325{col 74}{space 3} .1122149
{txt}{space 14}2001  {c |}{col 21}{res}{space 2} .0298845{col 33}{space 2} .0345826{col 44}{space 1}    0.86{col 53}{space 3}0.388{col 61}{space 4}-.0379215{col 74}{space 3} .0976905
{txt}{space 14}2002  {c |}{col 21}{res}{space 2} .0621041{col 33}{space 2}  .033176{col 44}{space 1}    1.87{col 53}{space 3}0.061{col 61}{space 4} -.002944{col 74}{space 3} .1271521
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} .0671058{col 33}{space 2} .0309754{col 44}{space 1}    2.17{col 53}{space 3}0.030{col 61}{space 4} .0063723{col 74}{space 3} .1278393
{txt}{space 14}2004  {c |}{col 21}{res}{space 2} .0930918{col 33}{space 2} .0363682{col 44}{space 1}    2.56{col 53}{space 3}0.011{col 61}{space 4} .0217846{col 74}{space 3} .1643989
{txt}{space 14}2005  {c |}{col 21}{res}{space 2} .0506574{col 33}{space 2}  .038045{col 44}{space 1}    1.33{col 53}{space 3}0.183{col 61}{space 4}-.0239373{col 74}{space 3} .1252521
{txt}{space 14}2006  {c |}{col 21}{res}{space 2} .1018509{col 33}{space 2} .0382411{col 44}{space 1}    2.66{col 53}{space 3}0.008{col 61}{space 4} .0268716{col 74}{space 3} .1768301
{txt}{space 14}2007  {c |}{col 21}{res}{space 2}  .120179{col 33}{space 2} .0382341{col 44}{space 1}    3.14{col 53}{space 3}0.002{col 61}{space 4} .0452136{col 74}{space 3} .1951445
{txt}{space 14}2008  {c |}{col 21}{res}{space 2} .1205975{col 33}{space 2} .0371347{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0477876{col 74}{space 3} .1934075
{txt}{space 14}2009  {c |}{col 21}{res}{space 2} .1209367{col 33}{space 2} .0411144{col 44}{space 1}    2.94{col 53}{space 3}0.003{col 61}{space 4} .0403238{col 74}{space 3} .2015496
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 5.726472{col 33}{space 2} 1.100621{col 44}{space 1}    5.20{col 53}{space 3}0.000{col 61}{space 4} 3.568487{col 74}{space 3} 7.884457
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table14RR ,  append word se label
.                 *Model 3: social group cl & cai1
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year i.ccode , robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(188, 3231) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9883
                                                {txt}Root MSE          =    {res} .12558

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8394512{col 33}{space 2} .0369177{col 44}{space 1}   22.74{col 53}{space 3}0.000{col 61}{space 4} .7670667{col 74}{space 3} .9118357
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0036257{col 33}{space 2} .0029516{col 44}{space 1}    1.23{col 53}{space 3}0.219{col 61}{space 4}-.0021616{col 74}{space 3} .0094129
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008472{col 33}{space 2} .0017722{col 44}{space 1}    0.48{col 53}{space 3}0.633{col 61}{space 4}-.0026276{col 74}{space 3} .0043221
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0025339{col 33}{space 2} .0302257{col 44}{space 1}   -0.08{col 53}{space 3}0.933{col 61}{space 4}-.0617973{col 74}{space 3} .0567295
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0019832{col 33}{space 2} .0165246{col 44}{space 1}    0.12{col 53}{space 3}0.904{col 61}{space 4}-.0304165{col 74}{space 3}  .034383
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0121933{col 33}{space 2}  .015535{col 44}{space 1}   -0.78{col 53}{space 3}0.433{col 61}{space 4}-.0426527{col 74}{space 3}  .018266
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001415{col 33}{space 2} .0123134{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-.0240014{col 74}{space 3} .0242844
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0005506{col 33}{space 2} .0007305{col 44}{space 1}   -0.75{col 53}{space 3}0.451{col 61}{space 4}-.0019829{col 74}{space 3} .0008817
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0089548{col 33}{space 2} .0490664{col 44}{space 1}    0.18{col 53}{space 3}0.855{col 61}{space 4}-.0872496{col 74}{space 3} .1051593
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1214748{col 33}{space 2} .0763788{col 44}{space 1}    1.59{col 53}{space 3}0.112{col 61}{space 4} -.028281{col 74}{space 3} .2712306
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2} .0125051{col 33}{space 2} .0243959{col 44}{space 1}    0.51{col 53}{space 3}0.608{col 61}{space 4}-.0353278{col 74}{space 3} .0603381
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0202399{col 33}{space 2} .0191564{col 44}{space 1}    1.06{col 53}{space 3}0.291{col 61}{space 4}-.0173199{col 74}{space 3} .0577998
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0007048{col 33}{space 2}  .015772{col 44}{space 1}   -0.04{col 53}{space 3}0.964{col 61}{space 4} -.031629{col 74}{space 3} .0302193
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0086264{col 33}{space 2} .0181884{col 44}{space 1}   -0.47{col 53}{space 3}0.635{col 61}{space 4}-.0442883{col 74}{space 3} .0270354
{txt}{space 14}1998  {c |}{col 21}{res}{space 2} .0086617{col 33}{space 2} .0171577{col 44}{space 1}    0.50{col 53}{space 3}0.614{col 61}{space 4}-.0249794{col 74}{space 3} .0423028
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} .0128852{col 33}{space 2} .0185193{col 44}{space 1}    0.70{col 53}{space 3}0.487{col 61}{space 4}-.0234254{col 74}{space 3} .0491959
{txt}{space 14}2000  {c |}{col 21}{res}{space 2} .0417693{col 33}{space 2} .0238969{col 44}{space 1}    1.75{col 53}{space 3}0.081{col 61}{space 4}-.0050852{col 74}{space 3} .0886239
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0038557{col 33}{space 2} .0169699{col 44}{space 1}   -0.23{col 53}{space 3}0.820{col 61}{space 4}-.0371286{col 74}{space 3} .0294171
{txt}{space 14}2002  {c |}{col 21}{res}{space 2} .0112538{col 33}{space 2} .0175605{col 44}{space 1}    0.64{col 53}{space 3}0.522{col 61}{space 4} -.023177{col 74}{space 3} .0456846
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} .0295027{col 33}{space 2} .0215131{col 44}{space 1}    1.37{col 53}{space 3}0.170{col 61}{space 4} -.012678{col 74}{space 3} .0716833
{txt}{space 14}2004  {c |}{col 21}{res}{space 2} .0129683{col 33}{space 2}  .019156{col 44}{space 1}    0.68{col 53}{space 3}0.498{col 61}{space 4}-.0245908{col 74}{space 3} .0505274
{txt}{space 14}2005  {c |}{col 21}{res}{space 2} .0017889{col 33}{space 2} .0210133{col 44}{space 1}    0.09{col 53}{space 3}0.932{col 61}{space 4}-.0394117{col 74}{space 3} .0429896
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0564298{col 33}{space 2} .6557198{col 44}{space 1}    0.09{col 53}{space 3}0.931{col 61}{space 4}-1.229239{col 74}{space 3} 1.342099
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table14RR ,  append word se label
.                 *Model 4: social group and cai2
.                 reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year i.ccode , robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(188, 3231) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9883
                                                {txt}Root MSE          =    {res} .12559

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8396909{col 33}{space 2} .0367426{col 44}{space 1}   22.85{col 53}{space 3}0.000{col 61}{space 4} .7676497{col 74}{space 3} .9117322
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0173486{col 33}{space 2} .0206649{col 44}{space 1}    0.84{col 53}{space 3}0.401{col 61}{space 4} -.023169{col 74}{space 3} .0578663
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008477{col 33}{space 2} .0017677{col 44}{space 1}    0.48{col 53}{space 3}0.632{col 61}{space 4}-.0026183{col 74}{space 3} .0043136
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0004423{col 33}{space 2} .0298563{col 44}{space 1}   -0.01{col 53}{space 3}0.988{col 61}{space 4}-.0589816{col 74}{space 3}  .058097
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0021708{col 33}{space 2} .0164696{col 44}{space 1}    0.13{col 53}{space 3}0.895{col 61}{space 4}-.0301212{col 74}{space 3} .0344627
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0121791{col 33}{space 2} .0155498{col 44}{space 1}   -0.78{col 53}{space 3}0.434{col 61}{space 4}-.0426676{col 74}{space 3} .0183094
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001125{col 33}{space 2} .0123497{col 44}{space 1}    0.01{col 53}{space 3}0.993{col 61}{space 4}-.0241015{col 74}{space 3} .0243264
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0005512{col 33}{space 2} .0007256{col 44}{space 1}   -0.76{col 53}{space 3}0.447{col 61}{space 4}-.0019739{col 74}{space 3} .0008714
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0091841{col 33}{space 2} .0491748{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0872328{col 74}{space 3}  .105601
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1249784{col 33}{space 2} .0766544{col 44}{space 1}    1.63{col 53}{space 3}0.103{col 61}{space 4}-.0253178{col 74}{space 3} .2752747
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2} .0124645{col 33}{space 2} .0243825{col 44}{space 1}    0.51{col 53}{space 3}0.609{col 61}{space 4}-.0353423{col 74}{space 3} .0602713
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0201562{col 33}{space 2} .0191566{col 44}{space 1}    1.05{col 53}{space 3}0.293{col 61}{space 4} -.017404{col 74}{space 3} .0577165
{txt}{space 14}1996  {c |}{col 21}{res}{space 2}-.0008058{col 33}{space 2} .0157708{col 44}{space 1}   -0.05{col 53}{space 3}0.959{col 61}{space 4}-.0317275{col 74}{space 3} .0301159
{txt}{space 14}1997  {c |}{col 21}{res}{space 2}-.0082132{col 33}{space 2} .0181992{col 44}{space 1}   -0.45{col 53}{space 3}0.652{col 61}{space 4}-.0438964{col 74}{space 3}   .02747
{txt}{space 14}1998  {c |}{col 21}{res}{space 2} .0090275{col 33}{space 2} .0171528{col 44}{space 1}    0.53{col 53}{space 3}0.599{col 61}{space 4}-.0246039{col 74}{space 3}  .042659
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} .0132235{col 33}{space 2} .0185318{col 44}{space 1}    0.71{col 53}{space 3}0.476{col 61}{space 4}-.0231119{col 74}{space 3} .0495588
{txt}{space 14}2000  {c |}{col 21}{res}{space 2} .0423414{col 33}{space 2} .0239215{col 44}{space 1}    1.77{col 53}{space 3}0.077{col 61}{space 4}-.0045615{col 74}{space 3} .0892443
{txt}{space 14}2001  {c |}{col 21}{res}{space 2}-.0033295{col 33}{space 2}  .016966{col 44}{space 1}   -0.20{col 53}{space 3}0.844{col 61}{space 4}-.0365947{col 74}{space 3} .0299356
{txt}{space 14}2002  {c |}{col 21}{res}{space 2} .0117506{col 33}{space 2} .0175609{col 44}{space 1}    0.67{col 53}{space 3}0.503{col 61}{space 4}-.0226811{col 74}{space 3} .0461822
{txt}{space 14}2003  {c |}{col 21}{res}{space 2}   .02999{col 33}{space 2} .0214983{col 44}{space 1}    1.39{col 53}{space 3}0.163{col 61}{space 4}-.0121617{col 74}{space 3} .0721416
{txt}{space 14}2004  {c |}{col 21}{res}{space 2} .0134276{col 33}{space 2} .0191746{col 44}{space 1}    0.70{col 53}{space 3}0.484{col 61}{space 4}-.0241679{col 74}{space 3} .0510232
{txt}{space 14}2005  {c |}{col 21}{res}{space 2} .0022172{col 33}{space 2}  .021029{col 44}{space 1}    0.11{col 53}{space 3}0.916{col 61}{space 4}-.0390142{col 74}{space 3} .0434487
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0211794{col 33}{space 2} .6504051{col 44}{space 1}    0.03{col 53}{space 3}0.974{col 61}{space 4}-1.254069{col 74}{space 3} 1.296428
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table14RR ,  append  word se label
.                 *Model 5: theta_mean and cai1, with social group cl included 
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year i.ccode , robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(188, 3230) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9749
                                                {txt}Root MSE          =    {res} .22588

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8425645{col 33}{space 2} .0210633{col 44}{space 1}   40.00{col 53}{space 3}0.000{col 61}{space 4} .8012657{col 74}{space 3} .8838634
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0211169{col 33}{space 2} .0201481{col 44}{space 1}    1.05{col 53}{space 3}0.295{col 61}{space 4}-.0183875{col 74}{space 3} .0606212
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0081593{col 33}{space 2} .0056364{col 44}{space 1}    1.45{col 53}{space 3}0.148{col 61}{space 4}-.0028921{col 74}{space 3} .0192107
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026544{col 33}{space 2} .0024738{col 44}{space 1}    1.07{col 53}{space 3}0.283{col 61}{space 4} -.002196{col 74}{space 3} .0075048
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  -.24253{col 33}{space 2} .0547327{col 44}{space 1}   -4.43{col 53}{space 3}0.000{col 61}{space 4}-.3498443{col 74}{space 3}-.1352157
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0999683{col 33}{space 2} .0243705{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1477515{col 74}{space 3} -.052185
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.031489{col 33}{space 2} .0273276{col 44}{space 1}   -1.15{col 53}{space 3}0.249{col 61}{space 4}-.0850702{col 74}{space 3} .0220923
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0295885{col 33}{space 2} .0263556{col 44}{space 1}   -1.12{col 53}{space 3}0.262{col 61}{space 4}-.0812639{col 74}{space 3} .0220868
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0016429{col 33}{space 2} .0010599{col 44}{space 1}   -1.55{col 53}{space 3}0.121{col 61}{space 4}-.0037209{col 74}{space 3} .0004352
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0283515{col 33}{space 2} .0788636{col 44}{space 1}    0.36{col 53}{space 3}0.719{col 61}{space 4}-.1262764{col 74}{space 3} .1829793
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0143251{col 33}{space 2} .1491046{col 44}{space 1}   -0.10{col 53}{space 3}0.923{col 61}{space 4}-.3066744{col 74}{space 3} .2780241
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0277244{col 33}{space 2} .0327376{col 44}{space 1}   -0.85{col 53}{space 3}0.397{col 61}{space 4}-.0919129{col 74}{space 3} .0364641
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0173874{col 33}{space 2}  .036619{col 44}{space 1}    0.47{col 53}{space 3}0.635{col 61}{space 4}-.0544113{col 74}{space 3} .0891861
{txt}{space 14}1996  {c |}{col 21}{res}{space 2} .0107793{col 33}{space 2} .0304787{col 44}{space 1}    0.35{col 53}{space 3}0.724{col 61}{space 4}-.0489804{col 74}{space 3} .0705389
{txt}{space 14}1997  {c |}{col 21}{res}{space 2} .0050504{col 33}{space 2} .0301641{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-.0540923{col 74}{space 3} .0641932
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0069111{col 33}{space 2}  .031645{col 44}{space 1}   -0.22{col 53}{space 3}0.827{col 61}{space 4}-.0689574{col 74}{space 3} .0551353
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} .0304055{col 33}{space 2} .0336884{col 44}{space 1}    0.90{col 53}{space 3}0.367{col 61}{space 4}-.0356473{col 74}{space 3} .0964584
{txt}{space 14}2000  {c |}{col 21}{res}{space 2} .0490707{col 33}{space 2} .0317612{col 44}{space 1}    1.54{col 53}{space 3}0.122{col 61}{space 4}-.0132033{col 74}{space 3} .1113448
{txt}{space 14}2001  {c |}{col 21}{res}{space 2} .0280515{col 33}{space 2} .0348178{col 44}{space 1}    0.81{col 53}{space 3}0.420{col 61}{space 4}-.0402158{col 74}{space 3} .0963188
{txt}{space 14}2002  {c |}{col 21}{res}{space 2} .0606085{col 33}{space 2} .0334126{col 44}{space 1}    1.81{col 53}{space 3}0.070{col 61}{space 4}-.0049034{col 74}{space 3} .1261205
{txt}{space 14}2003  {c |}{col 21}{res}{space 2} .0657404{col 33}{space 2} .0312499{col 44}{space 1}    2.10{col 53}{space 3}0.035{col 61}{space 4} .0044687{col 74}{space 3} .1270121
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 5.740806{col 33}{space 2} 1.106263{col 44}{space 1}    5.19{col 53}{space 3}0.000{col 61}{space 4} 3.571757{col 74}{space 3} 7.909855
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table14RR ,  append word se label
.                 *Model 6: theta_mean and cai2
.                 reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.year i.ccode , robust

{txt}Linear regression                               Number of obs     = {res}     3,421
                                                {txt}{help j_robustsingular:F(189, 3230) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9749
                                                {txt}Root MSE          =    {res} .22587

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .8424781{col 33}{space 2} .0210568{col 44}{space 1}   40.01{col 53}{space 3}0.000{col 61}{space 4}  .801192{col 74}{space 3} .8837641
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0210563{col 33}{space 2} .0201862{col 44}{space 1}    1.04{col 53}{space 3}0.297{col 61}{space 4}-.0185227{col 74}{space 3} .0606352
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0550335{col 33}{space 2} .0368985{col 44}{space 1}    1.49{col 53}{space 3}0.136{col 61}{space 4}-.0173133{col 74}{space 3} .1273804
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026925{col 33}{space 2} .0024781{col 44}{space 1}    1.09{col 53}{space 3}0.277{col 61}{space 4}-.0021663{col 74}{space 3} .0075512
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2388116{col 33}{space 2} .0542574{col 44}{space 1}   -4.40{col 53}{space 3}0.000{col 61}{space 4} -.345194{col 74}{space 3}-.1324292
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0993134{col 33}{space 2} .0244516{col 44}{space 1}   -4.06{col 53}{space 3}0.000{col 61}{space 4}-.1472555{col 74}{space 3}-.0513712
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0318699{col 33}{space 2} .0273672{col 44}{space 1}   -1.16{col 53}{space 3}0.244{col 61}{space 4}-.0855289{col 74}{space 3}  .021789
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0294569{col 33}{space 2} .0263672{col 44}{space 1}   -1.12{col 53}{space 3}0.264{col 61}{space 4} -.081155{col 74}{space 3} .0222412
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.001663{col 33}{space 2} .0010596{col 44}{space 1}   -1.57{col 53}{space 3}0.117{col 61}{space 4}-.0037406{col 74}{space 3} .0004147
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0282586{col 33}{space 2} .0789312{col 44}{space 1}    0.36{col 53}{space 3}0.720{col 61}{space 4}-.1265017{col 74}{space 3} .1830189
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0096409{col 33}{space 2} .1489894{col 44}{space 1}   -0.06{col 53}{space 3}0.948{col 61}{space 4}-.3017642{col 74}{space 3} .2824824
{txt}{space 19} {c |}
{space 15}year {c |}
{space 14}1994  {c |}{col 21}{res}{space 2}-.0277367{col 33}{space 2} .0327311{col 44}{space 1}   -0.85{col 53}{space 3}0.397{col 61}{space 4}-.0919125{col 74}{space 3} .0364391
{txt}{space 14}1995  {c |}{col 21}{res}{space 2} .0173104{col 33}{space 2} .0366127{col 44}{space 1}    0.47{col 53}{space 3}0.636{col 61}{space 4} -.054476{col 74}{space 3} .0890969
{txt}{space 14}1996  {c |}{col 21}{res}{space 2} .0106662{col 33}{space 2} .0304874{col 44}{space 1}    0.35{col 53}{space 3}0.726{col 61}{space 4}-.0491104{col 74}{space 3} .0704428
{txt}{space 14}1997  {c |}{col 21}{res}{space 2} .0059266{col 33}{space 2} .0300638{col 44}{space 1}    0.20{col 53}{space 3}0.844{col 61}{space 4}-.0530193{col 74}{space 3} .0648726
{txt}{space 14}1998  {c |}{col 21}{res}{space 2}-.0061199{col 33}{space 2} .0315487{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-.0679775{col 74}{space 3} .0557376
{txt}{space 14}1999  {c |}{col 21}{res}{space 2} .0311502{col 33}{space 2} .0336048{col 44}{space 1}    0.93{col 53}{space 3}0.354{col 61}{space 4}-.0347388{col 74}{space 3} .0970391
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{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 5.662903{col 33}{space 2}  1.10361{col 44}{space 1}    5.13{col 53}{space 3}0.000{col 61}{space 4} 3.499056{col 74}{space 3}  7.82675
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table14RR ,  append word se label
. 
. 
.                 *Table 6: Change as DVAR:
.                 reg d.theta_mean ltheta_mean l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res}     6.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0259
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       D.theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ltheta_mean {c |}{col 21}{res}{space 2}-.0393602{col 33}{space 2} .0061989{col 44}{space 1}   -6.35{col 53}{space 3}0.000{col 61}{space 4}-.0515141{col 74}{space 3}-.0272063
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table15RR ,  replace word se label
.                 reg d.theta_mean ltheta_mean l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res}     6.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0260
                                                {txt}Root MSE          =    {res} .23271

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       D.theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ltheta_mean {c |}{col 21}{res}{space 2}-.0393891{col 33}{space 2} .0061981{col 44}{space 1}   -6.36{col 53}{space 3}0.000{col 61}{space 4}-.0515414{col 74}{space 3}-.0272368
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0341938{col 33}{space 2} .0123966{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .0098883{col 74}{space 3} .0584993
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025308{col 33}{space 2} .0009006{col 44}{space 1}    2.81{col 53}{space 3}0.005{col 61}{space 4} .0007651{col 74}{space 3} .0042965
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017299{col 33}{space 2}   .00368{col 44}{space 1}   -4.70{col 53}{space 3}0.000{col 61}{space 4}-.0245143{col 74}{space 3}-.0100836
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0116544{col 33}{space 2} .0039371{col 44}{space 1}    2.96{col 53}{space 3}0.003{col 61}{space 4} .0039351{col 74}{space 3} .0193738
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0203024{col 33}{space 2} .0216779{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0628054{col 74}{space 3} .0222006
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0129519{col 33}{space 2} .0162608{col 44}{space 1}    0.80{col 53}{space 3}0.426{col 61}{space 4}-.0189301{col 74}{space 3} .0448339
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001166{col 33}{space 2} .0005696{col 44}{space 1}    0.20{col 53}{space 3}0.838{col 61}{space 4}-.0010002{col 74}{space 3} .0012335
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180119{col 33}{space 2} .0115022{col 44}{space 1}    1.57{col 53}{space 3}0.117{col 61}{space 4}  -.00454{col 74}{space 3} .0405638
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0165652{col 33}{space 2} .0183042{col 44}{space 1}   -0.90{col 53}{space 3}0.366{col 61}{space 4}-.0524535{col 74}{space 3} .0193232
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0306368{col 33}{space 2} .0126157{col 44}{space 1}   -2.43{col 53}{space 3}0.015{col 61}{space 4}-.0553719{col 74}{space 3}-.0059016
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1955728{col 33}{space 2} .0583611{col 44}{space 1}    3.35{col 53}{space 3}0.001{col 61}{space 4} .0811464{col 74}{space 3} .3099992
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table15RR ,  append word se label
.                 *Model 3: social group cl & cai1
.                 reg d.v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct  i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res}     2.22
                                                {txt}Prob > F          = {res}    0.0115
                                                {txt}R-squared         = {res}    0.0121
                                                {txt}Root MSE          =    {res} .13217

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       D.v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0111811{col 33}{space 2} .0038669{col 44}{space 1}   -2.89{col 53}{space 3}0.004{col 61}{space 4}-.0187628{col 74}{space 3}-.0035993
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027329{col 33}{space 2} .0013487{col 44}{space 1}    2.03{col 53}{space 3}0.043{col 61}{space 4} .0000886{col 74}{space 3} .0053773
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007228{col 33}{space 2}  .000588{col 44}{space 1}    1.23{col 53}{space 3}0.219{col 61}{space 4}-.0004301{col 74}{space 3} .0018758
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0041576{col 33}{space 2} .0015364{col 44}{space 1}   -2.71{col 53}{space 3}0.007{col 61}{space 4}-.0071699{col 74}{space 3}-.0011453
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0028055{col 33}{space 2} .0015523{col 44}{space 1}   -1.81{col 53}{space 3}0.071{col 61}{space 4}-.0058491{col 74}{space 3} .0002381
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0201573{col 33}{space 2} .0130129{col 44}{space 1}   -1.55{col 53}{space 3}0.121{col 61}{space 4}-.0456712{col 74}{space 3} .0053566
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0068163{col 33}{space 2} .0087998{col 44}{space 1}    0.77{col 53}{space 3}0.439{col 61}{space 4} -.010437{col 74}{space 3} .0240696
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003452{col 33}{space 2} .0002197{col 44}{space 1}   -1.57{col 53}{space 3}0.116{col 61}{space 4} -.000776{col 74}{space 3} .0000857
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0036659{col 33}{space 2} .0084176{col 44}{space 1}    0.44{col 53}{space 3}0.663{col 61}{space 4}-.0128383{col 74}{space 3} .0201701
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129195{col 33}{space 2}  .009473{col 44}{space 1}   -1.36{col 53}{space 3}0.173{col 61}{space 4}-.0314928{col 74}{space 3} .0056538
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.019279{col 33}{space 2} .0088754{col 44}{space 1}   -2.17{col 53}{space 3}0.030{col 61}{space 4}-.0366807{col 74}{space 3}-.0018773
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0988807{col 33}{space 2} .0283453{col 44}{space 1}    3.49{col 53}{space 3}0.000{col 61}{space 4} .0433051{col 74}{space 3} .1544563
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table15RR ,  append word se label
.                 *Model 4: social group and cai2
.                 reg d.v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res}     2.21
                                                {txt}Prob > F          = {res}    0.0116
                                                {txt}R-squared         = {res}    0.0119
                                                {txt}Root MSE          =    {res} .13219

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       D.v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0110368{col 33}{space 2} .0038329{col 44}{space 1}   -2.88{col 53}{space 3}0.004{col 61}{space 4}-.0185518{col 74}{space 3}-.0035218
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0154936{col 33}{space 2}   .00816{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0005054{col 74}{space 3} .0314927
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007109{col 33}{space 2} .0005864{col 44}{space 1}    1.21{col 53}{space 3}0.225{col 61}{space 4}-.0004388{col 74}{space 3} .0018607
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0041555{col 33}{space 2} .0015401{col 44}{space 1}   -2.70{col 53}{space 3}0.007{col 61}{space 4}-.0071752{col 74}{space 3}-.0011358
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0027058{col 33}{space 2} .0015427{col 44}{space 1}   -1.75{col 53}{space 3}0.080{col 61}{space 4}-.0057305{col 74}{space 3} .0003188
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.019411{col 33}{space 2} .0129054{col 44}{space 1}   -1.50{col 53}{space 3}0.133{col 61}{space 4}-.0447141{col 74}{space 3} .0058921
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0069002{col 33}{space 2} .0088172{col 44}{space 1}    0.78{col 53}{space 3}0.434{col 61}{space 4}-.0103874{col 74}{space 3} .0241879
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003297{col 33}{space 2} .0002168{col 44}{space 1}   -1.52{col 53}{space 3}0.128{col 61}{space 4}-.0007547{col 74}{space 3} .0000954
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0030537{col 33}{space 2} .0084738{col 44}{space 1}    0.36{col 53}{space 3}0.719{col 61}{space 4}-.0135606{col 74}{space 3}  .019668
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129747{col 33}{space 2}   .00954{col 44}{space 1}   -1.36{col 53}{space 3}0.174{col 61}{space 4}-.0316795{col 74}{space 3} .0057301
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0192769{col 33}{space 2} .0090642{col 44}{space 1}   -2.13{col 53}{space 3}0.034{col 61}{space 4}-.0370488{col 74}{space 3}-.0015051
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1013681{col 33}{space 2} .0285327{col 44}{space 1}    3.55{col 53}{space 3}0.000{col 61}{space 4} .0454252{col 74}{space 3}  .157311
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table15RR ,  append  word se label
.                 *Model 5: theta_mean and cai1, with social group cl included 
.                 reg d.theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res}     6.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0304
                                                {txt}Root MSE          =    {res} .23222

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       D.theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0477776{col 33}{space 2} .0070596{col 44}{space 1}   -6.77{col 53}{space 3}0.000{col 61}{space 4} -.061619{col 74}{space 3}-.0339361
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0191615{col 33}{space 2} .0057675{col 44}{space 1}    3.32{col 53}{space 3}0.001{col 61}{space 4} .0078533{col 74}{space 3} .0304697
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0039466{col 33}{space 2} .0021402{col 44}{space 1}    1.84{col 53}{space 3}0.065{col 61}{space 4}-.0002495{col 74}{space 3} .0081428
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014915{col 33}{space 2}  .000851{col 44}{space 1}    1.75{col 53}{space 3}0.080{col 61}{space 4}-.0001771{col 74}{space 3} .0031602
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0183675{col 33}{space 2} .0037207{col 44}{space 1}   -4.94{col 53}{space 3}0.000{col 61}{space 4}-.0256625{col 74}{space 3}-.0110724
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0151277{col 33}{space 2} .0039689{col 44}{space 1}    3.81{col 53}{space 3}0.000{col 61}{space 4} .0073461{col 74}{space 3} .0229093
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0093297{col 33}{space 2} .0213732{col 44}{space 1}   -0.44{col 53}{space 3}0.662{col 61}{space 4}-.0512352{col 74}{space 3} .0325758
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0111255{col 33}{space 2} .0161009{col 44}{space 1}    0.69{col 53}{space 3}0.490{col 61}{space 4}-.0204429{col 74}{space 3}  .042694
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001184{col 33}{space 2}  .000564{col 44}{space 1}   -0.21{col 53}{space 3}0.834{col 61}{space 4}-.0012241{col 74}{space 3} .0009873
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0191505{col 33}{space 2} .0116267{col 44}{space 1}    1.65{col 53}{space 3}0.100{col 61}{space 4}-.0036455{col 74}{space 3} .0419465
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.019346{col 33}{space 2} .0179861{col 44}{space 1}   -1.08{col 53}{space 3}0.282{col 61}{space 4}-.0546106{col 74}{space 3} .0159185
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0317988{col 33}{space 2} .0123276{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0559691{col 74}{space 3}-.0076285
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1767789{col 33}{space 2} .0568412{col 44}{space 1}    3.11{col 53}{space 3}0.002{col 61}{space 4} .0653326{col 74}{space 3} .2882253
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table15RR ,  append word se label
.                 *Model 6: theta_mean and cai2
.                 reg d.theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res}     6.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0305
                                                {txt}Root MSE          =    {res} .23221

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       D.theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0478445{col 33}{space 2}  .007064{col 44}{space 1}   -6.77{col 53}{space 3}0.000{col 61}{space 4}-.0616946{col 74}{space 3}-.0339944
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0191763{col 33}{space 2} .0057304{col 44}{space 1}    3.35{col 53}{space 3}0.001{col 61}{space 4} .0079408{col 74}{space 3} .0304117
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0259886{col 33}{space 2} .0129454{col 44}{space 1}    2.01{col 53}{space 3}0.045{col 61}{space 4}  .000607{col 74}{space 3} .0513702
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014706{col 33}{space 2} .0008504{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4}-.0001968{col 74}{space 3} .0031379
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0184612{col 33}{space 2}  .003733{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.0257803{col 74}{space 3}-.0111421
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0149493{col 33}{space 2} .0039311{col 44}{space 1}    3.80{col 53}{space 3}0.000{col 61}{space 4} .0072418{col 74}{space 3} .0226568
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0088474{col 33}{space 2} .0214393{col 44}{space 1}   -0.41{col 53}{space 3}0.680{col 61}{space 4}-.0508827{col 74}{space 3} .0331879
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0113241{col 33}{space 2} .0161043{col 44}{space 1}    0.70{col 53}{space 3}0.482{col 61}{space 4} -.020251{col 74}{space 3} .0428992
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001154{col 33}{space 2} .0005687{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0012305{col 74}{space 3} .0009996
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0194203{col 33}{space 2} .0115046{col 44}{space 1}    1.69{col 53}{space 3}0.091{col 61}{space 4}-.0031363{col 74}{space 3} .0419769
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0188564{col 33}{space 2} .0180729{col 44}{space 1}   -1.04{col 53}{space 3}0.297{col 61}{space 4}-.0542913{col 74}{space 3} .0165785
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0338592{col 33}{space 2} .0126695{col 44}{space 1}   -2.67{col 53}{space 3}0.008{col 61}{space 4}-.0586999{col 74}{space 3}-.0090185
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .183147{col 33}{space 2} .0574786{col 44}{space 1}    3.19{col 53}{space 3}0.001{col 61}{space 4} .0704508{col 74}{space 3} .2958431
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table15RR ,  append word se label
. 
. 
.                 *Table 7: "Backsliding" as IVAR: 
.                 xtgee theta_mean l.cai_cai1  BackwardsAbortioncai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, corr(ar1) force robust
{txt}note:  some groups have fewer than 2 observations
       not possible to estimate correlations for those groups
       3 groups omitted from estimation


Iteration 1:  Tolerance = {res}.50720447
{txt}Iteration 2:  Tolerance = {res}.13153833
{txt}Iteration 3:  Tolerance = {res}.0093744
{txt}Iteration 4:  Tolerance = {res}.00080064
{txt}Iteration 5:  Tolerance = {res}.00007036
{txt}Iteration 6:  Tolerance = {res}6.199e-06
{txt}Iteration 7:  Tolerance = {res}5.463e-07

{txt}GEE population-averaged model{col 54}{txt}{lalign 16:Number of obs} = {res}{ralign 6:3,258}
{txt}Group and time vars: {res}ccode year{txt}{col 54}{txt}{lalign 16:Number of groups} = {res}{ralign 6:153}
{txt}Family: {lalign 8:Gaussian}{col 54}{lalign 16:Obs per group:}
Link:   {lalign 8:Identity}{col 54}{ralign 16:min} = {res}{ralign 6:4}
{txt}Correlation: {res}AR(1){txt}{col 54}{ralign 16:avg} = {res}{ralign 6:21.3}
{txt}{col 54}{ralign 16:max} = {res}{ralign 6:23}
{txt}{col 54}{txt}{lalign 16:Wald chi2({res:11})} = {res}{ralign 6:217.37}
{txt}Scale parameter = {res}.7793822{txt}{col 54}{txt}{lalign 16:Prob > chi2} = {res}{ralign 6:0.0000}

{txt}{ralign 87:(Std. err. adjusted for clustering on {res:ccode})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           theta_mean{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      z{col 55}   P>|z|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}cai_cai1 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0251948{col 35}{space 2} .0102189{col 46}{space 1}    2.47{col 55}{space 3}0.014{col 63}{space 4}  .005166{col 76}{space 3} .0452235
{txt}{space 21} {c |}
BackwardsAbortioncai1 {c |}{col 23}{res}{space 2}-.0506719{col 35}{space 2} .0196299{col 46}{space 1}   -2.58{col 55}{space 3}0.010{col 63}{space 4}-.0891459{col 76}{space 3}-.0121979
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0222187{col 35}{space 2} .0066436{col 46}{space 1}    3.34{col 55}{space 3}0.001{col 63}{space 4} .0091975{col 76}{space 3} .0352398
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} -.311639{col 35}{space 2} .0414303{col 46}{space 1}   -7.52{col 55}{space 3}0.000{col 63}{space 4}-.3928409{col 76}{space 3}-.2304371
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .4168133{col 35}{space 2} .0464629{col 46}{space 1}    8.97{col 55}{space 3}0.000{col 63}{space 4} .3257476{col 76}{space 3}  .507879
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0150327{col 35}{space 2} .0132654{col 46}{space 1}   -1.13{col 55}{space 3}0.257{col 63}{space 4}-.0410323{col 76}{space 3}  .010967
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} -.079269{col 35}{space 2}   .03107{col 46}{space 1}   -2.55{col 55}{space 3}0.011{col 63}{space 4}-.1401652{col 76}{space 3}-.0183729
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0032654{col 35}{space 2} .0015388{col 46}{space 1}    2.12{col 55}{space 3}0.034{col 63}{space 4} .0002495{col 76}{space 3} .0062814
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.3521896{col 35}{space 2}  .243614{col 46}{space 1}   -1.45{col 55}{space 3}0.148{col 63}{space 4}-.8296643{col 76}{space 3} .1252851
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.6100014{col 35}{space 2} .1976727{col 46}{space 1}   -3.09{col 55}{space 3}0.002{col 63}{space 4}-.9974328{col 76}{space 3}-.2225699
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2}-.1022473{col 35}{space 2} .1617336{col 46}{space 1}   -0.63{col 55}{space 3}0.527{col 63}{space 4}-.4192393{col 76}{space 3} .2147448
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.010115{col 35}{space 2} .6994031{col 46}{space 1}    2.87{col 55}{space 3}0.004{col 63}{space 4} .6393099{col 76}{space 3}  3.38092
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table16RR ,  replace word se label
.                 xtgee theta_mean l.cai_cai2  BackwardsAbortioncai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 , corr(ar1) force robust
{txt}note:  some groups have fewer than 2 observations
       not possible to estimate correlations for those groups
       3 groups omitted from estimation


Iteration 1:  Tolerance = {res}.50696907
{txt}Iteration 2:  Tolerance = {res}.13373569
{txt}Iteration 3:  Tolerance = {res}.00972104
{txt}Iteration 4:  Tolerance = {res}.00084817
{txt}Iteration 5:  Tolerance = {res}.00007618
{txt}Iteration 6:  Tolerance = {res}6.860e-06
{txt}Iteration 7:  Tolerance = {res}6.180e-07

{txt}GEE population-averaged model{col 54}{txt}{lalign 16:Number of obs} = {res}{ralign 6:3,258}
{txt}Group and time vars: {res}ccode year{txt}{col 54}{txt}{lalign 16:Number of groups} = {res}{ralign 6:153}
{txt}Family: {lalign 8:Gaussian}{col 54}{lalign 16:Obs per group:}
Link:   {lalign 8:Identity}{col 54}{ralign 16:min} = {res}{ralign 6:4}
{txt}Correlation: {res}AR(1){txt}{col 54}{ralign 16:avg} = {res}{ralign 6:21.3}
{txt}{col 54}{ralign 16:max} = {res}{ralign 6:23}
{txt}{col 54}{txt}{lalign 16:Wald chi2({res:11})} = {res}{ralign 6:224.52}
{txt}Scale parameter = {res}.7805967{txt}{col 54}{txt}{lalign 16:Prob > chi2} = {res}{ralign 6:0.0000}

{txt}{ralign 87:(Std. err. adjusted for clustering on {res:ccode})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           theta_mean{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      z{col 55}   P>|z|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}cai_cai2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .1373298{col 35}{space 2} .0647417{col 46}{space 1}    2.12{col 55}{space 3}0.034{col 63}{space 4} .0104383{col 76}{space 3} .2642213
{txt}{space 21} {c |}
BackwardsAbortioncai2 {c |}{col 23}{res}{space 2} .0144991{col 35}{space 2} .0119614{col 46}{space 1}    1.21{col 55}{space 3}0.225{col 63}{space 4}-.0089447{col 76}{space 3} .0379429
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0223392{col 35}{space 2}   .00661{col 46}{space 1}    3.38{col 55}{space 3}0.001{col 63}{space 4} .0093839{col 76}{space 3} .0352944
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.3110106{col 35}{space 2} .0414603{col 46}{space 1}   -7.50{col 55}{space 3}0.000{col 63}{space 4}-.3922713{col 76}{space 3}-.2297498
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .4187868{col 35}{space 2}  .046582{col 46}{space 1}    8.99{col 55}{space 3}0.000{col 63}{space 4} .3274878{col 76}{space 3} .5100858
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0156531{col 35}{space 2} .0140571{col 46}{space 1}   -1.11{col 55}{space 3}0.265{col 63}{space 4}-.0432045{col 76}{space 3} .0118984
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0788428{col 35}{space 2} .0312464{col 46}{space 1}   -2.52{col 55}{space 3}0.012{col 63}{space 4}-.1400846{col 76}{space 3} -.017601
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0033558{col 35}{space 2} .0015326{col 46}{space 1}    2.19{col 55}{space 3}0.029{col 63}{space 4}  .000352{col 76}{space 3} .0063597
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.3608383{col 35}{space 2} .2444062{col 46}{space 1}   -1.48{col 55}{space 3}0.140{col 63}{space 4}-.8398656{col 76}{space 3} .1181891
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.6110899{col 35}{space 2} .1985129{col 46}{space 1}   -3.08{col 55}{space 3}0.002{col 63}{space 4}-1.000168{col 76}{space 3}-.2220117
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2}-.0969585{col 35}{space 2} .1626957{col 46}{space 1}   -0.60{col 55}{space 3}0.551{col 63}{space 4}-.4158362{col 76}{space 3} .2219192
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.017616{col 35}{space 2} .6990873{col 46}{space 1}    2.89{col 55}{space 3}0.004{col 63}{space 4} .6474298{col 76}{space 3} 3.387802
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table16RR ,  append word se label
. 
. 
.                 *Table 8: Change in CAI as key IVAR 
.                 xtgee theta_mean l.cai_cai1  d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, corr(ar1) force robust
{txt}note:  some groups have fewer than 2 observations
       not possible to estimate correlations for those groups
       3 groups omitted from estimation


Iteration 1:  Tolerance = {res}.4863172
{txt}Iteration 2:  Tolerance = {res}.13376425
{txt}Iteration 3:  Tolerance = {res}.00906551
{txt}Iteration 4:  Tolerance = {res}.00074735
{txt}Iteration 5:  Tolerance = {res}.00006336
{txt}Iteration 6:  Tolerance = {res}5.385e-06
{txt}Iteration 7:  Tolerance = {res}4.578e-07

{txt}GEE population-averaged model{col 54}{txt}{lalign 16:Number of obs} = {res}{ralign 6:3,258}
{txt}Group and time vars: {res}ccode year{txt}{col 54}{txt}{lalign 16:Number of groups} = {res}{ralign 6:153}
{txt}Family: {lalign 8:Gaussian}{col 54}{lalign 16:Obs per group:}
Link:   {lalign 8:Identity}{col 54}{ralign 16:min} = {res}{ralign 6:4}
{txt}Correlation: {res}AR(1){txt}{col 54}{ralign 16:avg} = {res}{ralign 6:21.3}
{txt}{col 54}{ralign 16:max} = {res}{ralign 6:23}
{txt}{col 54}{txt}{lalign 16:Wald chi2({res:11})} = {res}{ralign 6:215.89}
{txt}Scale parameter = {res}.7697731{txt}{col 54}{txt}{lalign 16:Prob > chi2} = {res}{ralign 6:0.0000}

{txt}{ralign 85:(Std. err. adjusted for clustering on {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0450114{col 33}{space 2} .0152501{col 44}{space 1}    2.95{col 53}{space 3}0.003{col 61}{space 4} .0151219{col 74}{space 3}  .074901
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .0272898{col 33}{space 2} .0100275{col 44}{space 1}    2.72{col 53}{space 3}0.006{col 61}{space 4} .0076363{col 74}{space 3} .0469434
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0219638{col 33}{space 2} .0066464{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4} .0089371{col 74}{space 3} .0349905
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.315165{col 33}{space 2} .0410483{col 44}{space 1}   -7.68{col 53}{space 3}0.000{col 61}{space 4}-.3956182{col 74}{space 3}-.2347118
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .4046387{col 33}{space 2} .0466658{col 44}{space 1}    8.67{col 53}{space 3}0.000{col 61}{space 4} .3131754{col 74}{space 3} .4961021
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129007{col 33}{space 2} .0136308{col 44}{space 1}   -0.95{col 53}{space 3}0.344{col 61}{space 4}-.0396166{col 74}{space 3} .0138151
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0795555{col 33}{space 2}   .03116{col 44}{space 1}   -2.55{col 53}{space 3}0.011{col 61}{space 4}-.1406279{col 74}{space 3}-.0184831
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0032674{col 33}{space 2} .0015429{col 44}{space 1}    2.12{col 53}{space 3}0.034{col 61}{space 4} .0002433{col 74}{space 3} .0062915
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3155744{col 33}{space 2} .2417119{col 44}{space 1}   -1.31{col 53}{space 3}0.192{col 61}{space 4} -.789321{col 74}{space 3} .1581723
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.5834183{col 33}{space 2} .1976704{col 44}{space 1}   -2.95{col 53}{space 3}0.003{col 61}{space 4}-.9708452{col 74}{space 3}-.1959914
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.1681106{col 33}{space 2}  .164492{col 44}{space 1}   -1.02{col 53}{space 3}0.307{col 61}{space 4} -.490509{col 74}{space 3} .1542878
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.079949{col 33}{space 2} .6954347{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4} .7169216{col 74}{space 3} 3.442975
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table17RR ,  replace word se label
.                 xtgee theta_mean l.cai_cai2  d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, corr(ar1) force robust
{txt}note:  some groups have fewer than 2 observations
       not possible to estimate correlations for those groups
       3 groups omitted from estimation


Iteration 1:  Tolerance = {res}.48009781
{txt}Iteration 2:  Tolerance = {res}.13492828
{txt}Iteration 3:  Tolerance = {res}.00910497
{txt}Iteration 4:  Tolerance = {res}.00074971
{txt}Iteration 5:  Tolerance = {res}.0000635
{txt}Iteration 6:  Tolerance = {res}5.391e-06
{txt}Iteration 7:  Tolerance = {res}4.578e-07

{txt}GEE population-averaged model{col 54}{txt}{lalign 16:Number of obs} = {res}{ralign 6:3,258}
{txt}Group and time vars: {res}ccode year{txt}{col 54}{txt}{lalign 16:Number of groups} = {res}{ralign 6:153}
{txt}Family: {lalign 8:Gaussian}{col 54}{lalign 16:Obs per group:}
Link:   {lalign 8:Identity}{col 54}{ralign 16:min} = {res}{ralign 6:4}
{txt}Correlation: {res}AR(1){txt}{col 54}{ralign 16:avg} = {res}{ralign 6:21.3}
{txt}{col 54}{ralign 16:max} = {res}{ralign 6:23}
{txt}{col 54}{txt}{lalign 16:Wald chi2({res:11})} = {res}{ralign 6:220.39}
{txt}Scale parameter = {res}.7682675{txt}{col 54}{txt}{lalign 16:Prob > chi2} = {res}{ralign 6:0.0000}

{txt}{ralign 85:(Std. err. adjusted for clustering on {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .2920153{col 33}{space 2} .0992718{col 44}{space 1}    2.94{col 53}{space 3}0.003{col 61}{space 4} .0974462{col 74}{space 3} .4865845
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .1712554{col 33}{space 2} .0734653{col 44}{space 1}    2.33{col 53}{space 3}0.020{col 61}{space 4}  .027266{col 74}{space 3} .3152448
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0220321{col 33}{space 2} .0066333{col 44}{space 1}    3.32{col 53}{space 3}0.001{col 61}{space 4} .0090311{col 74}{space 3} .0350331
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3152433{col 33}{space 2} .0409495{col 44}{space 1}   -7.70{col 53}{space 3}0.000{col 61}{space 4}-.3955029{col 74}{space 3}-.2349837
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .4040006{col 33}{space 2} .0465898{col 44}{space 1}    8.67{col 53}{space 3}0.000{col 61}{space 4} .3126863{col 74}{space 3} .4953149
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0126946{col 33}{space 2} .0136534{col 44}{space 1}   -0.93{col 53}{space 3}0.352{col 61}{space 4}-.0394549{col 74}{space 3} .0140656
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0797383{col 33}{space 2} .0311645{col 44}{space 1}   -2.56{col 53}{space 3}0.011{col 61}{space 4}-.1408196{col 74}{space 3} -.018657
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0032965{col 33}{space 2} .0015455{col 44}{space 1}    2.13{col 53}{space 3}0.033{col 61}{space 4} .0002674{col 74}{space 3} .0063256
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.317414{col 33}{space 2} .2416989{col 44}{space 1}   -1.31{col 53}{space 3}0.189{col 61}{space 4}-.7911352{col 74}{space 3} .1563073
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.574401{col 33}{space 2}  .198668{col 44}{space 1}   -2.89{col 53}{space 3}0.004{col 61}{space 4}-.9637832{col 74}{space 3}-.1850189
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.1873182{col 33}{space 2} .1659305{col 44}{space 1}   -1.13{col 53}{space 3}0.259{col 61}{space 4} -.512536{col 74}{space 3} .1378995
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.125232{col 33}{space 2} .6927501{col 44}{space 1}    3.07{col 53}{space 3}0.002{col 61}{space 4} .7674667{col 74}{space 3} 3.482997
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table17RR ,  append word se label
.                 xtgee physint l.cai_cai1  d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, corr(ar1) force robust
{txt}note:  some groups have fewer than 2 observations
       not possible to estimate correlations for those groups
       3 groups omitted from estimation


Iteration 1:  Tolerance = {res}.41995012
{txt}Iteration 2:  Tolerance = {res}.11694803
{txt}Iteration 3:  Tolerance = {res}.02067596
{txt}Iteration 4:  Tolerance = {res}.00326427
{txt}Iteration 5:  Tolerance = {res}.000506
{txt}Iteration 6:  Tolerance = {res}.00007822
{txt}Iteration 7:  Tolerance = {res}.00001208
{txt}Iteration 8:  Tolerance = {res}1.867e-06
{txt}Iteration 9:  Tolerance = {res}2.884e-07

{txt}GEE population-averaged model{col 54}{txt}{lalign 16:Number of obs} = {res}{ralign 6:3,214}
{txt}Group and time vars: {res}ccode year{txt}{col 54}{txt}{lalign 16:Number of groups} = {res}{ralign 6:153}
{txt}Family: {lalign 8:Gaussian}{col 54}{lalign 16:Obs per group:}
Link:   {lalign 8:Identity}{col 54}{ralign 16:min} = {res}{ralign 6:4}
{txt}Correlation: {res}AR(1){txt}{col 54}{ralign 16:avg} = {res}{ralign 6:21.0}
{txt}{col 54}{ralign 16:max} = {res}{ralign 6:23}
{txt}{col 54}{txt}{lalign 16:Wald chi2({res:11})} = {res}{ralign 6:479.05}
{txt}Scale parameter = {res}2.191553{txt}{col 54}{txt}{lalign 16:Prob > chi2} = {res}{ralign 6:0.0000}

{txt}{ralign 85:(Std. err. adjusted for clustering on {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            physint{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0903868{col 33}{space 2} .0369317{col 44}{space 1}    2.45{col 53}{space 3}0.014{col 61}{space 4} .0180021{col 74}{space 3} .1627715
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .1281342{col 33}{space 2} .0553996{col 44}{space 1}    2.31{col 53}{space 3}0.021{col 61}{space 4} .0195529{col 74}{space 3} .2367155
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0924639{col 33}{space 2}  .013354{col 44}{space 1}    6.92{col 53}{space 3}0.000{col 61}{space 4} .0662905{col 74}{space 3} .1186373
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.6096002{col 33}{space 2} .0581844{col 44}{space 1}  -10.48{col 53}{space 3}0.000{col 61}{space 4}-.7236396{col 74}{space 3}-.4955609
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .4003161{col 33}{space 2} .0699071{col 44}{space 1}    5.73{col 53}{space 3}0.000{col 61}{space 4} .2633007{col 74}{space 3} .5373314
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.4351607{col 33}{space 2} .1880938{col 44}{space 1}   -2.31{col 53}{space 3}0.021{col 61}{space 4}-.8038178{col 74}{space 3}-.0665037
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.4445538{col 33}{space 2} .1349067{col 44}{space 1}   -3.30{col 53}{space 3}0.001{col 61}{space 4}-.7089661{col 74}{space 3}-.1801414
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .003028{col 33}{space 2} .0049515{col 44}{space 1}    0.61{col 53}{space 3}0.541{col 61}{space 4}-.0066768{col 74}{space 3} .0127328
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2440764{col 33}{space 2} .3476967{col 44}{space 1}   -0.70{col 53}{space 3}0.483{col 61}{space 4}-.9255494{col 74}{space 3} .4373966
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3306166{col 33}{space 2} .3089423{col 44}{space 1}   -1.07{col 53}{space 3}0.285{col 61}{space 4}-.9361324{col 74}{space 3} .2748992
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.3325674{col 33}{space 2} .2561897{col 44}{space 1}   -1.30{col 53}{space 3}0.194{col 61}{space 4}-.8346901{col 74}{space 3} .1695552
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 10.79627{col 33}{space 2} 1.099892{col 44}{space 1}    9.82{col 53}{space 3}0.000{col 61}{space 4} 8.640525{col 74}{space 3} 12.95202
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table17RR ,  append word se label
.                 xtgee physint l.cai_cai2  d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, corr(ar1) force robust
{txt}note:  some groups have fewer than 2 observations
       not possible to estimate correlations for those groups
       3 groups omitted from estimation


Iteration 1:  Tolerance = {res}.41929998
{txt}Iteration 2:  Tolerance = {res}.11610526
{txt}Iteration 3:  Tolerance = {res}.02035032
{txt}Iteration 4:  Tolerance = {res}.00318179
{txt}Iteration 5:  Tolerance = {res}.00048836
{txt}Iteration 6:  Tolerance = {res}.00007474
{txt}Iteration 7:  Tolerance = {res}.00001143
{txt}Iteration 8:  Tolerance = {res}1.749e-06
{txt}Iteration 9:  Tolerance = {res}2.676e-07

{txt}GEE population-averaged model{col 54}{txt}{lalign 16:Number of obs} = {res}{ralign 6:3,214}
{txt}Group and time vars: {res}ccode year{txt}{col 54}{txt}{lalign 16:Number of groups} = {res}{ralign 6:153}
{txt}Family: {lalign 8:Gaussian}{col 54}{lalign 16:Obs per group:}
Link:   {lalign 8:Identity}{col 54}{ralign 16:min} = {res}{ralign 6:4}
{txt}Correlation: {res}AR(1){txt}{col 54}{ralign 16:avg} = {res}{ralign 6:21.0}
{txt}{col 54}{ralign 16:max} = {res}{ralign 6:23}
{txt}{col 54}{txt}{lalign 16:Wald chi2({res:11})} = {res}{ralign 6:479.79}
{txt}Scale parameter = {res}2.186102{txt}{col 54}{txt}{lalign 16:Prob > chi2} = {res}{ralign 6:0.0000}

{txt}{ralign 85:(Std. err. adjusted for clustering on {res:ccode})}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            physint{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6377144{col 33}{space 2} .2369497{col 44}{space 1}    2.69{col 53}{space 3}0.007{col 61}{space 4} .1733016{col 74}{space 3} 1.102127
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .7024601{col 33}{space 2} .3523541{col 44}{space 1}    1.99{col 53}{space 3}0.046{col 61}{space 4} .0118588{col 74}{space 3} 1.393061
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0920037{col 33}{space 2} .0133655{col 44}{space 1}    6.88{col 53}{space 3}0.000{col 61}{space 4} .0658078{col 74}{space 3} .1181996
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.611653{col 33}{space 2}  .058107{col 44}{space 1}  -10.53{col 53}{space 3}0.000{col 61}{space 4}-.7255408{col 74}{space 3}-.4977653
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .3906795{col 33}{space 2} .0703948{col 44}{space 1}    5.55{col 53}{space 3}0.000{col 61}{space 4} .2527082{col 74}{space 3} .5286508
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.4357448{col 33}{space 2} .1873893{col 44}{space 1}   -2.33{col 53}{space 3}0.020{col 61}{space 4} -.803021{col 74}{space 3}-.0684686
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.4447901{col 33}{space 2} .1347452{col 44}{space 1}   -3.30{col 53}{space 3}0.001{col 61}{space 4}-.7088858{col 74}{space 3}-.1806944
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0028177{col 33}{space 2} .0049593{col 44}{space 1}    0.57{col 53}{space 3}0.570{col 61}{space 4}-.0069025{col 74}{space 3} .0125378
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.224031{col 33}{space 2}  .345214{col 44}{space 1}   -0.65{col 53}{space 3}0.516{col 61}{space 4} -.900638{col 74}{space 3} .4525761
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3089159{col 33}{space 2}  .313285{col 44}{space 1}   -0.99{col 53}{space 3}0.324{col 61}{space 4}-.9229432{col 74}{space 3} .3051114
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.4054252{col 33}{space 2} .2640361{col 44}{space 1}   -1.54{col 53}{space 3}0.125{col 61}{space 4}-.9229265{col 74}{space 3}  .112076
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  10.9678{col 33}{space 2} 1.102423{col 44}{space 1}    9.95{col 53}{space 3}0.000{col 61}{space 4} 8.807088{col 74}{space 3} 13.12851
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table17RR ,  append word se label
. 
. 
.                 *Table 9: Granger causality
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 regress cai_cai2 l.cai_cai2 theta_mean l.theta_mean if e(sample), cluster(ccode)

{txt}Linear regression                               Number of obs     = {res}     3,261
                                                {txt}F(3, 155)         =  {res} 81493.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9796
                                                {txt}Root MSE          =    {res} .05841

{txt}{ralign 78:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    cai_cai2{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}cai_cai2 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9899046{col 26}{space 2} .0021556{col 37}{space 1}  459.22{col 46}{space 3}0.000{col 54}{space 4} .9856464{col 67}{space 3} .9941628
{txt}{space 12} {c |}
{space 2}theta_mean {c |}
{space 9}--. {c |}{col 14}{res}{space 2} .0009754{col 26}{space 2} .0033907{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.0057226{col 67}{space 3} .0076733
{txt}{space 9}L1. {c |}{col 14}{res}{space 2}-.0001916{col 26}{space 2} .0035463{col 37}{space 1}   -0.05{col 46}{space 3}0.957{col 54}{space 4} -.007197{col 67}{space 3} .0068138
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .008681{col 26}{space 2}  .001707{col 37}{space 1}    5.09{col 46}{space 3}0.000{col 54}{space 4}  .005309{col 67}{space 3} .0120529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 testparm theta_mean l.theta_mean

{p 0 7}{space 1}{text:( 1)}{space 1} {res}theta_mean = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} L.theta_mean = 0{p_end}

{txt}       F(  2,   155) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4952
{txt}
{com}.                 regress theta_mean l.theta_mean cai_cai2 l.cai_cai2 if e(sample), cluster(ccode)

{txt}Linear regression                               Number of obs     = {res}     3,261
                                                {txt}F(3, 155)         =  {res} 20734.78
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9706
                                                {txt}Root MSE          =    {res} .23694

{txt}{ralign 78:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}theta_mean {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9821609{col 26}{space 2} .0044531{col 37}{space 1}  220.56{col 46}{space 3}0.000{col 54}{space 4} .9733644{col 67}{space 3} .9909575
{txt}{space 12} {c |}
{space 4}cai_cai2 {c |}
{space 9}--. {c |}{col 14}{res}{space 2} .0160472{col 26}{space 2} .0550068{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0926126{col 67}{space 3}  .124707
{txt}{space 9}L1. {c |}{col 14}{res}{space 2} .0028039{col 26}{space 2} .0545971{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.1050464{col 67}{space 3} .1106542
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0248473{col 26}{space 2}  .006037{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} .0129219{col 67}{space 3} .0367726
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 testparm cai_cai2 l.cai_cai2 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}cai_cai2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} L.cai_cai2 = 0{p_end}

{txt}       F(  2,   155) ={res}    1.44
{txt}{col 13}Prob > F ={res}    0.2406
{txt}
{com}.                 regress cai_cai1 l.cai_cai1 theta_mean l.theta_mean if e(sample), cluster(ccode)

{txt}Linear regression                               Number of obs     = {res}     3,261
                                                {txt}F(3, 155)         =  {res} 51214.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9771
                                                {txt}Root MSE          =    {res} .37664

{txt}{ralign 78:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    cai_cai1{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}cai_cai1 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9856166{col 26}{space 2} .0026777{col 37}{space 1}  368.09{col 46}{space 3}0.000{col 54}{space 4} .9803272{col 67}{space 3}  .990906
{txt}{space 12} {c |}
{space 2}theta_mean {c |}
{space 9}--. {c |}{col 14}{res}{space 2} .0055228{col 26}{space 2} .0191325{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0322712{col 67}{space 3} .0433169
{txt}{space 9}L1. {c |}{col 14}{res}{space 2}-.0016535{col 26}{space 2} .0198094{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.0407847{col 67}{space 3} .0374778
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0912268{col 26}{space 2} .0152159{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4} .0611695{col 67}{space 3}  .121284
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 testparm theta_mean l.theta_mean

{p 0 7}{space 1}{text:( 1)}{space 1} {res}theta_mean = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} L.theta_mean = 0{p_end}

{txt}       F(  2,   155) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.6532
{txt}
{com}.                 regress theta_mean l.theta_mean cai_cai1 l.cai_cai1 if e(sample), cluster(ccode)

{txt}Linear regression                               Number of obs     = {res}     3,261
                                                {txt}F(3, 155)         =  {res} 20461.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9706
                                                {txt}Root MSE          =    {res} .23694

{txt}{ralign 78:(Std. err. adjusted for {res:156} clusters in {res:ccode})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}theta_mean {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9822259{col 26}{space 2} .0044351{col 37}{space 1}  221.47{col 46}{space 3}0.000{col 54}{space 4} .9734649{col 67}{space 3}  .990987
{txt}{space 12} {c |}
{space 4}cai_cai1 {c |}
{space 9}--. {c |}{col 14}{res}{space 2} .0021858{col 26}{space 2} .0075382{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4} -.012705{col 67}{space 3} .0170766
{txt}{space 9}L1. {c |}{col 14}{res}{space 2} .0008133{col 26}{space 2} .0074492{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.0139018{col 67}{space 3} .0155284
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0218508{col 26}{space 2} .0074759{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4}  .007083{col 67}{space 3} .0366186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 testparm cai_cai1 l.cai_cai1 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}cai_cai1 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} L.cai_cai1 = 0{p_end}

{txt}       F(  2,   155) ={res}    1.39
{txt}{col 13}Prob > F ={res}    0.2513
{txt}
{com}. 
.                 *Table 10: Panel VAR
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 pvar theta_mean cai_cai2 if e(sample),  lags(2)

{txt}Panel vector autoregresssion



GMM Estimation

Final GMM Criterion Q(b) = {res} 4.03e-34
{txt}Initial weight matrix:{col 24}{res}Identity
{txt}GMM weight matrix:{col 24}{res}Robust
{txt}{col 52}No. of obs{col 68}= {res}     2980
{txt}{col 52}No. of panels{col 68}= {res}      154
{txt}{col 52}Ave. no. of T{col 68}= {res}   19.351


{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}theta_mean   {txt}{c |}
{space 2}theta_mean {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9168153{col 26}{space 2} .0741678{col 37}{space 1}   12.36{col 46}{space 3}0.000{col 54}{space 4} .7714492{col 67}{space 3} 1.062181
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} -.000152{col 26}{space 2} .0642126{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.1260064{col 67}{space 3} .1257023
{txt}{space 12} {c |}
{space 4}cai_cai2 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 1.548836{col 26}{space 2} .5771886{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4}  .417567{col 67}{space 3} 2.680105
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .2256986{col 26}{space 2} .0820008{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4}   .06498{col 67}{space 3} .3864172
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}cai_cai2     {txt}{c |}
{space 2}theta_mean {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} -.000239{col 26}{space 2} .0075431{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4}-.0150231{col 67}{space 3} .0145452
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.0008898{col 26}{space 2} .0048876{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.0104694{col 67}{space 3} .0086898
{txt}{space 12} {c |}
{space 4}cai_cai2 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 1.131652{col 26}{space 2} .1581253{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} .8217322{col 67}{space 3} 1.441572
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .0019878{col 26}{space 2} .0190127{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.0352763{col 67}{space 3}  .039252
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Instruments : {res}l(1/2).(theta_mean cai_cai2) 
{txt}
{com}.                 **outreg2 using PanelTable ,  replace word se label
.                 pvar theta_mean cai_cai1 if e(sample), lags(2)

{txt}Panel vector autoregresssion



GMM Estimation

Final GMM Criterion Q(b) = {res} 5.22e-34
{txt}Initial weight matrix:{col 24}{res}Identity
{txt}GMM weight matrix:{col 24}{res}Robust
{txt}{col 52}No. of obs{col 68}= {res}     2980
{txt}{col 52}No. of panels{col 68}= {res}      154
{txt}{col 52}Ave. no. of T{col 68}= {res}   19.351


{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}theta_mean   {txt}{c |}
{space 2}theta_mean {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .8648121{col 26}{space 2} .0776407{col 37}{space 1}   11.14{col 46}{space 3}0.000{col 54}{space 4} .7126391{col 67}{space 3} 1.016985
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.0054774{col 26}{space 2} .0613312{col 37}{space 1}   -0.09{col 46}{space 3}0.929{col 54}{space 4}-.1256843{col 67}{space 3} .1147295
{txt}{space 12} {c |}
{space 4}cai_cai1 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .2240438{col 26}{space 2} .0786966{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0698012{col 67}{space 3} .3782863
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .0292738{col 26}{space 2} .0107027{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .0082969{col 67}{space 3} .0502506
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}cai_cai1     {txt}{c |}
{space 2}theta_mean {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0389582{col 26}{space 2}  .072375{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.1808107{col 67}{space 3} .1028942
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.0154491{col 26}{space 2} .0314059{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.0770035{col 67}{space 3} .0461053
{txt}{space 12} {c |}
{space 4}cai_cai1 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 1.149986{col 26}{space 2} .1415051{col 37}{space 1}    8.13{col 46}{space 3}0.000{col 54}{space 4} .8726415{col 67}{space 3} 1.427331
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .0007374{col 26}{space 2} .0148982{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.0284624{col 67}{space 3} .0299373
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Instruments : {res}l(1/2).(theta_mean cai_cai1) 
{txt}
{com}.                 **outreg2 using PanelTable ,  append word se label
. 
.                 *Table 11: Decreases and Timing 
.                 count if BackwardsAbortioncai1 == 1 & D.F.physint<0
  {res}6
{txt}
{com}.                 *6
.                 count if BackwardsAbortioncai1 == 1 & D.physint<0
  {res}10
{txt}
{com}.                 *10
.                 count if BackwardsAbortioncai1 == 1 & D.L.physint<0
  {res}3
{txt}
{com}.                 *3
.                 count if BackwardsAbortioncai2 == 1 & D.F.physint<0
  {res}102
{txt}
{com}.                 *102
.                 count if BackwardsAbortioncai2 == 1 & D.physint<0
  {res}99
{txt}
{com}.                 *99
.                 count if BackwardsAbortioncai2 == 1 & D.L.physint<0
  {res}64
{txt}
{com}.                 *64
.                 count if BackwardsAbortioncai1 == 1 & D.F.theta_mean<0
  {res}9
{txt}
{com}.                 *9
.                 count if BackwardsAbortioncai1 == 1 & D.theta_mean<0
  {res}12
{txt}
{com}.                 *12
.                 count if BackwardsAbortioncai1 == 1 & D.L.theta_mean<0
  {res}8
{txt}
{com}.                 *8
.                 count if BackwardsAbortioncai2 == 1 & D.F.theta_mean<0
  {res}153
{txt}
{com}.                 *153
.                 count if BackwardsAbortioncai2 == 1 & D.theta_mean<0
  {res}133
{txt}
{com}.                 *133
.                 count if BackwardsAbortioncai2 == 1 & D.L.theta_mean<0
  {res}129
{txt}
{com}.                 *129
. 
. 
.                 *Table 12: O'Brien Statistics 
.                 *In sample and out of sample predictions 
.                 ****Trying accuracy, recall, precision 
. 
.                 clear 
{txt}
{com}.                 cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 *Basic model
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 predict xb if e(sample) 
{txt}(option {bf:xb} assumed; fitted values)
(12,471 missing values generated)

{com}.                 gen residual=theta_mean-xb if e(sample)
{txt}(12,471 missing values generated)

{com}.                 sum residual

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}residual {c |}{res}      3,413    7.42e-10    .2323494  -2.511983   2.601247
{txt}
{com}.                 *3413
.                 gen analysispositive = 1 if residual> 0    & residual!=. & e(sample) 
{txt}(14,148 missing values generated)

{com}.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,736      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,736      100.00
{txt}
{com}.                 *1736
.                 by ccode: gen HRworseyear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(12,773 missing values generated)

{com}.                 by ccode: replace HRworseyear1=1 if FD.theta_mean<  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,254 real changes made)

{com}.                 by ccode: gen HRworseyear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(12,919 missing values generated)

{com}.                 by ccode: replace HRworseyear2=1 if (theta_mean[_n+2]-theta_mean)< 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,176 real changes made)

{com}.                 by ccode: gen HRworseyear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,066 missing values generated)

{com}.                 by ccode: replace HRworseyear3=1 if (theta_mean[_n+3]-theta_mean)<  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,098 real changes made)

{com}.                 by ccode: gen HRworseyear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear4=1 if (theta_mean[_n+4]-theta_mean)< 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,017 real changes made)

{com}.                 by ccode: gen HRworseyear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRworseyear5=1 if (theta_mean[_n+5]-theta_mean)<  0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(948 real changes made)

{com}.                 count if analysis==1 & (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) 
  {res}695
{txt}
{com}.                 *695
.                 count if (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & e(sample)
  {res}1,742
{txt}
{com}.                 *1742
.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,736      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,736      100.00
{txt}
{com}.                 gen analysisnegative = 1 if residual< 0    & residual!=. & e(sample) 
{txt}(14,207 missing values generated)

{com}.                 tab analysisnegative 

{txt}analysisneg {c |}
      ative {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,677      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,677      100.00
{txt}
{com}.                 *1677
.                 by ccode: gen HRbetteryear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(12,773 missing values generated)

{com}.                 by ccode: replace HRbetteryear1=1 if FD.theta_mean>  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,857 real changes made)

{com}.                 by ccode: gen HRbetteryear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(12,919 missing values generated)

{com}.                 by ccode: replace HRbetteryear2=1 if (theta_mean[_n+2]-theta_mean)> 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,789 real changes made)

{com}.                 by ccode: gen HRbetteryear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,066 missing values generated)

{com}.                 by ccode: replace HRbetteryear3=1 if (theta_mean[_n+3]-theta_mean)>  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,720 real changes made)

{com}.                 by ccode: gen HRbetteryear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear4=1 if (theta_mean[_n+4]-theta_mean)> 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,653 real changes made)

{com}.                 by ccode: gen HRbetteryear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRbetteryear5=1 if (theta_mean[_n+5]-theta_mean)> 0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(1,573 real changes made)

{com}.                 count if analysisnegative ==1 & (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) 
  {res}1,019
{txt}
{com}.                 *1370
.                 count if (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & e(sample)
  {res}2,389
{txt}
{com}.                 *2389
. 
.                 *so:
.                 *accuracy = (695+1370)/(1736+1677) = .60503955
.                 *recall = 695/1742 = .3989667
.                 *precison = 695/1736 = .40034562
. 
. 
. 
.                 *Now, without CAI 
.                 clear 
{txt}
{com}.                 cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 *Basic model
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *without CAI
.                 reg theta_mean  l.theta_mean    l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 if e(sample), robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(10, 3402)       =  {res} 15253.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23289

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9622156{col 33}{space 2} .0060382{col 44}{space 1}  159.36{col 53}{space 3}0.000{col 61}{space 4} .9503767{col 74}{space 3} .9740544
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026629{col 33}{space 2} .0009019{col 44}{space 1}    2.95{col 53}{space 3}0.003{col 61}{space 4} .0008945{col 74}{space 3} .0044312
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0162069{col 33}{space 2} .0035333{col 44}{space 1}   -4.59{col 53}{space 3}0.000{col 61}{space 4}-.0231345{col 74}{space 3}-.0092793
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0144025{col 33}{space 2} .0041919{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} .0061835{col 74}{space 3} .0226215
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0156943{col 33}{space 2} .0216311{col 44}{space 1}   -0.73{col 53}{space 3}0.468{col 61}{space 4}-.0581056{col 74}{space 3} .0267171
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0124933{col 33}{space 2} .0162705{col 44}{space 1}    0.77{col 53}{space 3}0.443{col 61}{space 4}-.0194075{col 74}{space 3} .0443942
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003238{col 33}{space 2} .0005636{col 44}{space 1}    0.57{col 53}{space 3}0.566{col 61}{space 4}-.0007812{col 74}{space 3} .0014288
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0067491{col 33}{space 2}  .010842{col 44}{space 1}    0.62{col 53}{space 3}0.534{col 61}{space 4}-.0145085{col 74}{space 3} .0280066
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0218737{col 33}{space 2} .0179364{col 44}{space 1}   -1.22{col 53}{space 3}0.223{col 61}{space 4}-.0570408{col 74}{space 3} .0132934
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0103473{col 33}{space 2} .0101289{col 44}{space 1}   -1.02{col 53}{space 3}0.307{col 61}{space 4}-.0302066{col 74}{space 3}  .009512
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1696571{col 33}{space 2} .0565374{col 44}{space 1}    3.00{col 53}{space 3}0.003{col 61}{space 4} .0588064{col 74}{space 3} .2805079
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 predict xb if e(sample) 
{txt}(option {bf:xb} assumed; fitted values)
(12,471 missing values generated)

{com}.                 gen residual=theta_mean-xb if e(sample)
{txt}(12,471 missing values generated)

{com}.                 sum residual

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}residual {c |}{res}      3,413    3.95e-10     .232551   -2.50863   2.599401
{txt}
{com}.                 *3413
.                 gen analysispositive = 1 if residual> 0    & residual!=. & e(sample) 
{txt}(14,143 missing values generated)

{com}.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,741      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,741      100.00
{txt}
{com}.                 *1741
.                 by ccode: gen HRworseyear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(12,773 missing values generated)

{com}.                 by ccode: replace HRworseyear1=1 if FD.theta_mean<  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,254 real changes made)

{com}.                 by ccode: gen HRworseyear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(12,919 missing values generated)

{com}.                 by ccode: replace HRworseyear2=1 if (theta_mean[_n+2]-theta_mean)< 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,176 real changes made)

{com}.                 by ccode: gen HRworseyear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,066 missing values generated)

{com}.                 by ccode: replace HRworseyear3=1 if (theta_mean[_n+3]-theta_mean)<  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,098 real changes made)

{com}.                 by ccode: gen HRworseyear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear4=1 if (theta_mean[_n+4]-theta_mean)< 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,017 real changes made)

{com}.                 by ccode: gen HRworseyear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRworseyear5=1 if (theta_mean[_n+5]-theta_mean)<  0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(948 real changes made)

{com}.                 count if analysis==1 & (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) 
  {res}703
{txt}
{com}.                 *703
.                 count if (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & e(sample)
  {res}1,742
{txt}
{com}.                 *1742
.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,741      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,741      100.00
{txt}
{com}.                 gen analysisnegative = 1 if residual< 0    & residual!=. & e(sample) 
{txt}(14,212 missing values generated)

{com}.                 tab analysisnegative 

{txt}analysisneg {c |}
      ative {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,672      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,672      100.00
{txt}
{com}.                 *1672
.                 by ccode: gen HRbetteryear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(12,773 missing values generated)

{com}.                 by ccode: replace HRbetteryear1=1 if FD.theta_mean>  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,857 real changes made)

{com}.                 by ccode: gen HRbetteryear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(12,919 missing values generated)

{com}.                 by ccode: replace HRbetteryear2=1 if (theta_mean[_n+2]-theta_mean)> 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,789 real changes made)

{com}.                 by ccode: gen HRbetteryear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,066 missing values generated)

{com}.                 by ccode: replace HRbetteryear3=1 if (theta_mean[_n+3]-theta_mean)>  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,720 real changes made)

{com}.                 by ccode: gen HRbetteryear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear4=1 if (theta_mean[_n+4]-theta_mean)> 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,653 real changes made)

{com}.                 by ccode: gen HRbetteryear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRbetteryear5=1 if (theta_mean[_n+5]-theta_mean)> 0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(1,573 real changes made)

{com}.                 count if analysisnegative==1 & (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) 
  {res}1,022
{txt}
{com}.                 *1022
.                 count if (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & e(sample)
  {res}2,389
{txt}
{com}.                 *2389
.                 *so:
.                 *accuracy = (703+1022)/(1741+1672) = .50542045
.                 *recall = 703/1742 = .40355913
.                 *precison = 703/1741 = .40379092
. 
. 
.                 *Out of sample
.                 *use a model through 2011 to predict things in  2012 2013 2014 2015 2016
.                 ****Trying accuracy, recall, precision 
.                 clear 
{txt}
{com}.                 cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 *Basic model
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 if year<2012, robust

{txt}Linear regression                               Number of obs     = {res}     2,670
                                                {txt}F(11, 2658)       =  {res}  9534.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9679
                                                {txt}Root MSE          =    {res} .24637

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9525622{col 33}{space 2} .0075687{col 44}{space 1}  125.86{col 53}{space 3}0.000{col 61}{space 4} .9377212{col 74}{space 3} .9674032
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0054713{col 33}{space 2} .0024484{col 44}{space 1}    2.23{col 53}{space 3}0.026{col 61}{space 4} .0006703{col 74}{space 3} .0102722
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0028074{col 33}{space 2}  .001095{col 44}{space 1}    2.56{col 53}{space 3}0.010{col 61}{space 4} .0006602{col 74}{space 3} .0049545
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0188497{col 33}{space 2} .0043996{col 44}{space 1}   -4.28{col 53}{space 3}0.000{col 61}{space 4}-.0274767{col 74}{space 3}-.0102226
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0125295{col 33}{space 2} .0046181{col 44}{space 1}    2.71{col 53}{space 3}0.007{col 61}{space 4}  .003474{col 74}{space 3}  .021585
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0498921{col 33}{space 2} .0240649{col 44}{space 1}   -2.07{col 53}{space 3}0.038{col 61}{space 4}-.0970799{col 74}{space 3}-.0027043
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0158386{col 33}{space 2} .0196225{col 44}{space 1}    0.81{col 53}{space 3}0.420{col 61}{space 4}-.0226384{col 74}{space 3} .0543156
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008682{col 33}{space 2} .0007673{col 44}{space 1}    1.13{col 53}{space 3}0.258{col 61}{space 4}-.0006364{col 74}{space 3} .0023729
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0235459{col 33}{space 2} .0137929{col 44}{space 1}    1.71{col 53}{space 3}0.088{col 61}{space 4}-.0034999{col 74}{space 3} .0505917
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0030247{col 33}{space 2} .0225316{col 44}{space 1}   -0.13{col 53}{space 3}0.893{col 61}{space 4}-.0472058{col 74}{space 3} .0411565
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0310383{col 33}{space 2} .0144728{col 44}{space 1}   -2.14{col 53}{space 3}0.032{col 61}{space 4}-.0594174{col 74}{space 3}-.0026591
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1940872{col 33}{space 2} .0684171{col 44}{space 1}    2.84{col 53}{space 3}0.005{col 61}{space 4} .0599312{col 74}{space 3} .3282433
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 predict xb if e(sample) 
{txt}(option {bf:xb} assumed; fitted values)
(13,214 missing values generated)

{com}.                 gen residual=theta_mean-xb if e(sample) 
{txt}(13,214 missing values generated)

{com}.                 sum residual

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}residual {c |}{res}      2,670    1.08e-09    .2458572  -2.514861   2.581649
{txt}
{com}.                 gen analysispositive = 1 if residual> 0    & residual!=. & e(sample) & year==2011
{txt}(15,802 missing values generated)

{com}.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         82      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         82      100.00
{txt}
{com}.                 *82
.                 by ccode: gen HRworseyear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear1=1 if FD.theta_mean<  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,089 real changes made)

{com}.                 by ccode: gen HRworseyear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear2=1 if (theta_mean[_n+2]-theta_mean)< 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,066 real changes made)

{com}.                 by ccode: gen HRworseyear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear3=1 if (theta_mean[_n+3]-theta_mean)<  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,048 real changes made)

{com}.                 by ccode: gen HRworseyear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear4=1 if (theta_mean[_n+4]-theta_mean)< 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,017 real changes made)

{com}.                 by ccode: gen HRworseyear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRworseyear5=1 if (theta_mean[_n+5]-theta_mean)<  0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(948 real changes made)

{com}.                 count if analysis==1 & (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & year ==2011
  {res}24
{txt}
{com}.                 *24
.                 count if (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & e(sample)& year==2011
  {res}60
{txt}
{com}.                 *60
.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         82      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         82      100.00
{txt}
{com}.                 gen analysisnegative = 1 if residual< 0    & residual!=. & e(sample) & year==2011
{txt}(15,817 missing values generated)

{com}.                 tab analysisnegative 

{txt}analysisneg {c |}
      ative {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         67      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         67      100.00
{txt}
{com}.                 *67
.                 by ccode: gen HRbetteryear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear1=1 if FD.theta_mean>  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,581 real changes made)

{com}.                 by ccode: gen HRbetteryear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear2=1 if (theta_mean[_n+2]-theta_mean)> 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,604 real changes made)

{com}.                 by ccode: gen HRbetteryear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear3=1 if (theta_mean[_n+3]-theta_mean)>  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,622 real changes made)

{com}.                 by ccode: gen HRbetteryear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear4=1 if (theta_mean[_n+4]-theta_mean)> 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,653 real changes made)

{com}.                 by ccode: gen HRbetteryear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRbetteryear5=1 if (theta_mean[_n+5]-theta_mean)> 0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(1,573 real changes made)

{com}.                 count if analysisnegative ==1 & (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & year==2011
  {res}44
{txt}
{com}.                 *44
.                 count if (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & e(sample) & year==2011
  {res}118
{txt}
{com}.                 *118
.                 *so:
.                 *accuracy = (24+44)/(82 +67) =.45637584
.                 *recall = (24/60) = .4
.                 *precison = (24/82) = .29268293
. 
.                 *great, now without CAI 
.                 clear 
{txt}
{com}.                 cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 *Basic model
.                 reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 if year<2012, robust

{txt}Linear regression                               Number of obs     = {res}     2,670
                                                {txt}F(11, 2658)       =  {res}  9534.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9679
                                                {txt}Root MSE          =    {res} .24637

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9525622{col 33}{space 2} .0075687{col 44}{space 1}  125.86{col 53}{space 3}0.000{col 61}{space 4} .9377212{col 74}{space 3} .9674032
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0054713{col 33}{space 2} .0024484{col 44}{space 1}    2.23{col 53}{space 3}0.026{col 61}{space 4} .0006703{col 74}{space 3} .0102722
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0028074{col 33}{space 2}  .001095{col 44}{space 1}    2.56{col 53}{space 3}0.010{col 61}{space 4} .0006602{col 74}{space 3} .0049545
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0188497{col 33}{space 2} .0043996{col 44}{space 1}   -4.28{col 53}{space 3}0.000{col 61}{space 4}-.0274767{col 74}{space 3}-.0102226
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0125295{col 33}{space 2} .0046181{col 44}{space 1}    2.71{col 53}{space 3}0.007{col 61}{space 4}  .003474{col 74}{space 3}  .021585
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0498921{col 33}{space 2} .0240649{col 44}{space 1}   -2.07{col 53}{space 3}0.038{col 61}{space 4}-.0970799{col 74}{space 3}-.0027043
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0158386{col 33}{space 2} .0196225{col 44}{space 1}    0.81{col 53}{space 3}0.420{col 61}{space 4}-.0226384{col 74}{space 3} .0543156
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008682{col 33}{space 2} .0007673{col 44}{space 1}    1.13{col 53}{space 3}0.258{col 61}{space 4}-.0006364{col 74}{space 3} .0023729
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0235459{col 33}{space 2} .0137929{col 44}{space 1}    1.71{col 53}{space 3}0.088{col 61}{space 4}-.0034999{col 74}{space 3} .0505917
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0030247{col 33}{space 2} .0225316{col 44}{space 1}   -0.13{col 53}{space 3}0.893{col 61}{space 4}-.0472058{col 74}{space 3} .0411565
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0310383{col 33}{space 2} .0144728{col 44}{space 1}   -2.14{col 53}{space 3}0.032{col 61}{space 4}-.0594174{col 74}{space 3}-.0026591
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1940872{col 33}{space 2} .0684171{col 44}{space 1}    2.84{col 53}{space 3}0.005{col 61}{space 4} .0599312{col 74}{space 3} .3282433
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 reg theta_mean  l.theta_mean    l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 if year<2012 & e(sample), robust

{txt}Linear regression                               Number of obs     = {res}     2,670
                                                {txt}F(10, 2659)       =  {res} 10406.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9678
                                                {txt}Root MSE          =    {res} .24652

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9540939{col 33}{space 2} .0074084{col 44}{space 1}  128.79{col 53}{space 3}0.000{col 61}{space 4}  .939567{col 74}{space 3} .9686207
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0029215{col 33}{space 2}  .001094{col 44}{space 1}    2.67{col 53}{space 3}0.008{col 61}{space 4} .0007763{col 74}{space 3} .0050667
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0178168{col 33}{space 2}  .004238{col 44}{space 1}   -4.20{col 53}{space 3}0.000{col 61}{space 4} -.026127{col 74}{space 3}-.0095066
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0151858{col 33}{space 2} .0049208{col 44}{space 1}    3.09{col 53}{space 3}0.002{col 61}{space 4} .0055368{col 74}{space 3} .0248348
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0447763{col 33}{space 2} .0242131{col 44}{space 1}   -1.85{col 53}{space 3}0.065{col 61}{space 4}-.0922547{col 74}{space 3} .0027022
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0156129{col 33}{space 2} .0196385{col 44}{space 1}    0.80{col 53}{space 3}0.427{col 61}{space 4}-.0228955{col 74}{space 3} .0541213
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0011125{col 33}{space 2} .0007575{col 44}{space 1}    1.47{col 53}{space 3}0.142{col 61}{space 4}-.0003729{col 74}{space 3}  .002598
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0121918{col 33}{space 2} .0128676{col 44}{space 1}    0.95{col 53}{space 3}0.343{col 61}{space 4}-.0130396{col 74}{space 3} .0374233
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0077208{col 33}{space 2} .0221695{col 44}{space 1}   -0.35{col 53}{space 3}0.728{col 61}{space 4}-.0511921{col 74}{space 3} .0357504
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.012012{col 33}{space 2} .0119603{col 44}{space 1}   -1.00{col 53}{space 3}0.315{col 61}{space 4}-.0354644{col 74}{space 3} .0114404
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1752856{col 33}{space 2} .0672477{col 44}{space 1}    2.61{col 53}{space 3}0.009{col 61}{space 4} .0434226{col 74}{space 3} .3071487
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 predict xb if e(sample) 
{txt}(option {bf:xb} assumed; fitted values)
(13,214 missing values generated)

{com}.                 gen residual=theta_mean-xb if e(sample) 
{txt}(13,214 missing values generated)

{com}.                 sum residual

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}residual {c |}{res}      2,670    6.93e-10    .2460544  -2.511739   2.579468
{txt}
{com}.                 gen analysispositive = 1 if residual> 0    & residual!=. & e(sample) & year==2011
{txt}(15,806 missing values generated)

{com}.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         78      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         78      100.00
{txt}
{com}.                 *78
.                 by ccode: gen HRworseyear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear1=1 if FD.theta_mean<  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,089 real changes made)

{com}.                 by ccode: gen HRworseyear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear2=1 if (theta_mean[_n+2]-theta_mean)< 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,066 real changes made)

{com}.                 by ccode: gen HRworseyear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear3=1 if (theta_mean[_n+3]-theta_mean)<  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,048 real changes made)

{com}.                 by ccode: gen HRworseyear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear4=1 if (theta_mean[_n+4]-theta_mean)< 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,017 real changes made)

{com}.                 by ccode: gen HRworseyear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRworseyear5=1 if (theta_mean[_n+5]-theta_mean)<  0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(948 real changes made)

{com}.                 count if analysis==1 & (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & year ==2011
  {res}21
{txt}
{com}.                 *21
.                 count if (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & e(sample)& year==2011
  {res}60
{txt}
{com}.                 *60
.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         78      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         78      100.00
{txt}
{com}.                 gen analysisnegative = 1 if residual< 0    & residual!=. & e(sample) & year==2011
{txt}(15,813 missing values generated)

{com}.                 tab analysisnegative 

{txt}analysisneg {c |}
      ative {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         71      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         71      100.00
{txt}
{com}.                 *71
.                 by ccode: gen HRbetteryear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear1=1 if FD.theta_mean>  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,581 real changes made)

{com}.                 by ccode: gen HRbetteryear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear2=1 if (theta_mean[_n+2]-theta_mean)> 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,604 real changes made)

{com}.                 by ccode: gen HRbetteryear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear3=1 if (theta_mean[_n+3]-theta_mean)>  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,622 real changes made)

{com}.                 by ccode: gen HRbetteryear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear4=1 if (theta_mean[_n+4]-theta_mean)> 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,653 real changes made)

{com}.                 by ccode: gen HRbetteryear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRbetteryear5=1 if (theta_mean[_n+5]-theta_mean)> 0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(1,573 real changes made)

{com}.                 count if analysisnegative ==1 & (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & year==2011
  {res}46
{txt}
{com}.                 *46
.                 count if (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & e(sample) & year==2011
  {res}118
{txt}
{com}.                 *118
. 
.                 *so:
.                 *accuracy = (21+46)/(78 +71) =.44966443
.                 *recall = (21/60) = .35
.                 *precison = (21/78) = .26923077
. 
. 
.                 *Same thing for CAI #2
.                 *In-Sample
.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 *Basic model
.                 reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13888.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23271

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606109{col 33}{space 2} .0061981{col 44}{space 1}  154.99{col 53}{space 3}0.000{col 61}{space 4} .9484586{col 74}{space 3} .9727632
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0341938{col 33}{space 2} .0123966{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .0098883{col 74}{space 3} .0584993
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025308{col 33}{space 2} .0009006{col 44}{space 1}    2.81{col 53}{space 3}0.005{col 61}{space 4} .0007651{col 74}{space 3} .0042965
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017299{col 33}{space 2}   .00368{col 44}{space 1}   -4.70{col 53}{space 3}0.000{col 61}{space 4}-.0245143{col 74}{space 3}-.0100836
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0116544{col 33}{space 2} .0039371{col 44}{space 1}    2.96{col 53}{space 3}0.003{col 61}{space 4} .0039351{col 74}{space 3} .0193738
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0203024{col 33}{space 2} .0216779{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0628054{col 74}{space 3} .0222006
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0129519{col 33}{space 2} .0162608{col 44}{space 1}    0.80{col 53}{space 3}0.426{col 61}{space 4}-.0189301{col 74}{space 3} .0448339
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001166{col 33}{space 2} .0005696{col 44}{space 1}    0.20{col 53}{space 3}0.838{col 61}{space 4}-.0010002{col 74}{space 3} .0012335
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180119{col 33}{space 2} .0115022{col 44}{space 1}    1.57{col 53}{space 3}0.117{col 61}{space 4}  -.00454{col 74}{space 3} .0405638
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0165652{col 33}{space 2} .0183042{col 44}{space 1}   -0.90{col 53}{space 3}0.366{col 61}{space 4}-.0524535{col 74}{space 3} .0193232
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0306368{col 33}{space 2} .0126157{col 44}{space 1}   -2.43{col 53}{space 3}0.015{col 61}{space 4}-.0553719{col 74}{space 3}-.0059016
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1955728{col 33}{space 2} .0583611{col 44}{space 1}    3.35{col 53}{space 3}0.001{col 61}{space 4} .0811464{col 74}{space 3} .3099992
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 predict xb if e(sample) 
{txt}(option {bf:xb} assumed; fitted values)
(12,471 missing values generated)

{com}.                 gen residual=theta_mean-xb if e(sample)
{txt}(12,471 missing values generated)

{com}.                 sum residual

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}residual {c |}{res}      3,413   -2.78e-10    .2323383  -2.509923   2.598815
{txt}
{com}.                 *3413
.                 gen analysispositive = 1 if residual> 0    & residual!=. & e(sample) 
{txt}(14,152 missing values generated)

{com}.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,732      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,732      100.00
{txt}
{com}.                 *1,732  
.                 by ccode: gen HRworseyear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(12,773 missing values generated)

{com}.                 by ccode: replace HRworseyear1=1 if FD.theta_mean<  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,254 real changes made)

{com}.                 by ccode: gen HRworseyear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(12,919 missing values generated)

{com}.                 by ccode: replace HRworseyear2=1 if (theta_mean[_n+2]-theta_mean)< 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,176 real changes made)

{com}.                 by ccode: gen HRworseyear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,066 missing values generated)

{com}.                 by ccode: replace HRworseyear3=1 if (theta_mean[_n+3]-theta_mean)<  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,098 real changes made)

{com}.                 by ccode: gen HRworseyear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear4=1 if (theta_mean[_n+4]-theta_mean)< 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,017 real changes made)

{com}.                 by ccode: gen HRworseyear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRworseyear5=1 if (theta_mean[_n+5]-theta_mean)<  0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(948 real changes made)

{com}.                 count if analysis==1 & (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) 
  {res}691
{txt}
{com}.                 *691
.                 count if (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & e(sample)
  {res}1,742
{txt}
{com}.                 *1742
.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,732      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,732      100.00
{txt}
{com}.                 gen analysisnegative = 1 if residual< 0    & residual!=. & e(sample) 
{txt}(14,203 missing values generated)

{com}.                 tab analysisnegative 

{txt}analysisneg {c |}
      ative {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,681      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,681      100.00
{txt}
{com}.                 *1681
.                 by ccode: gen HRbetteryear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(12,773 missing values generated)

{com}.                 by ccode: replace HRbetteryear1=1 if FD.theta_mean>  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,857 real changes made)

{com}.                 by ccode: gen HRbetteryear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(12,919 missing values generated)

{com}.                 by ccode: replace HRbetteryear2=1 if (theta_mean[_n+2]-theta_mean)> 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,789 real changes made)

{com}.                 by ccode: gen HRbetteryear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,066 missing values generated)

{com}.                 by ccode: replace HRbetteryear3=1 if (theta_mean[_n+3]-theta_mean)>  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,720 real changes made)

{com}.                 by ccode: gen HRbetteryear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear4=1 if (theta_mean[_n+4]-theta_mean)> 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,653 real changes made)

{com}.                 by ccode: gen HRbetteryear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRbetteryear5=1 if (theta_mean[_n+5]-theta_mean)> 0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(1,573 real changes made)

{com}.                 count if analysisnegative ==1 & (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) 
  {res}1,024
{txt}
{com}.                 *1024
.                 count if (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & e(sample)
  {res}2,389
{txt}
{com}.                 *2389
. 
.                 *so:
.                 *accuracy = (691+1024)/(1732+1681) = .50249048
.                 *recall = 691/1742 = .39667049
.                 *precison = 691/1732= .39896074
. 
. 
. 
.                 *and now out of sample with CAI #2
.                 ****Trying accuracy, recall, precision 
.                 clear 
{txt}
{com}.                 cd "C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb"
{res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb
{txt}
{com}.                 use ReplicationDataset.dta, replace
{txt}
{com}.                 tsset ccode year
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                 *Basic model
.                 reg theta_mean  l.theta_mean  l.cai_cai2  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 if year<2012, robust

{txt}Linear regression                               Number of obs     = {res}     2,670
                                                {txt}F(11, 2658)       =  {res}  9504.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9679
                                                {txt}Root MSE          =    {res} .24634

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9523939{col 33}{space 2} .0075795{col 44}{space 1}  125.65{col 53}{space 3}0.000{col 61}{space 4} .9375315{col 74}{space 3} .9672562
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0362121{col 33}{space 2} .0149737{col 44}{space 1}    2.42{col 53}{space 3}0.016{col 61}{space 4} .0068509{col 74}{space 3} .0655734
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027897{col 33}{space 2} .0010927{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0006471{col 74}{space 3} .0049323
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0190166{col 33}{space 2} .0044195{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4}-.0276825{col 74}{space 3}-.0103506
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0123089{col 33}{space 2} .0045805{col 44}{space 1}    2.69{col 53}{space 3}0.007{col 61}{space 4} .0033271{col 74}{space 3} .0212907
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0492123{col 33}{space 2} .0241452{col 44}{space 1}   -2.04{col 53}{space 3}0.042{col 61}{space 4}-.0965576{col 74}{space 3} -.001867
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0160193{col 33}{space 2} .0196262{col 44}{space 1}    0.82{col 53}{space 3}0.414{col 61}{space 4} -.022465{col 74}{space 3} .0545035
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008796{col 33}{space 2} .0007715{col 44}{space 1}    1.14{col 53}{space 3}0.254{col 61}{space 4}-.0006332{col 74}{space 3} .0023924
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0240085{col 33}{space 2}  .013675{col 44}{space 1}    1.76{col 53}{space 3}0.079{col 61}{space 4}-.0028061{col 74}{space 3} .0508232
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0022659{col 33}{space 2} .0226213{col 44}{space 1}   -0.10{col 53}{space 3}0.920{col 61}{space 4} -.046623{col 74}{space 3} .0420913
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0338988{col 33}{space 2} .0148288{col 44}{space 1}   -2.29{col 53}{space 3}0.022{col 61}{space 4} -.062976{col 74}{space 3}-.0048215
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2030075{col 33}{space 2} .0691435{col 44}{space 1}    2.94{col 53}{space 3}0.003{col 61}{space 4} .0674269{col 74}{space 3} .3385881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 predict xb if e(sample) 
{txt}(option {bf:xb} assumed; fitted values)
(13,214 missing values generated)

{com}.                 gen residual=theta_mean-xb if e(sample) 
{txt}(13,214 missing values generated)

{com}.                 sum residual

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}residual {c |}{res}      2,670    7.27e-10    .2458306  -2.512623   2.579282
{txt}
{com}.                 gen analysispositive = 1 if residual> 0    & residual!=. & e(sample) & year==2011
{txt}(15,802 missing values generated)

{com}.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         82      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         82      100.00
{txt}
{com}.                 *82
.                 by ccode: gen HRworseyear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear1=1 if FD.theta_mean<  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,089 real changes made)

{com}.                 by ccode: gen HRworseyear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear2=1 if (theta_mean[_n+2]-theta_mean)< 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,066 real changes made)

{com}.                 by ccode: gen HRworseyear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear3=1 if (theta_mean[_n+3]-theta_mean)<  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,048 real changes made)

{com}.                 by ccode: gen HRworseyear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRworseyear4=1 if (theta_mean[_n+4]-theta_mean)< 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,017 real changes made)

{com}.                 by ccode: gen HRworseyear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRworseyear5=1 if (theta_mean[_n+5]-theta_mean)<  0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(948 real changes made)

{com}.                 count if analysis==1 & (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & year ==2011
  {res}24
{txt}
{com}.                 *24
.                 count if (HRworseyear1==1 | HRworseyear2==1| HRworseyear3==1 | HRworseyear4==1| HRworseyear5==1) & e(sample)& year==2011
  {res}60
{txt}
{com}.                 *60
.                 tab analysispositive 

{txt}analysispos {c |}
      itive {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         82      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         82      100.00
{txt}
{com}.                 gen analysisnegative = 1 if residual< 0    & residual!=. & e(sample) & year==2011
{txt}(15,817 missing values generated)

{com}.                 tab analysisnegative 

{txt}analysisneg {c |}
      ative {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         67      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         67      100.00
{txt}
{com}.                 *67
.                 by ccode: gen HRbetteryear1=0 if  e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear1=1 if FD.theta_mean>  0  & e(sample) & theta_mean[_n+1]!=. &   year<2015
{txt}(1,581 real changes made)

{com}.                 by ccode: gen HRbetteryear2=0 if e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear2=1 if (theta_mean[_n+2]-theta_mean)> 0  & e(sample) & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2014
{txt}(1,604 real changes made)

{com}.                 by ccode: gen HRbetteryear3=0 if e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear3=1 if (theta_mean[_n+3]-theta_mean)>  0  & e(sample) & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2013
{txt}(1,622 real changes made)

{com}.                 by ccode: gen HRbetteryear4=0 if e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(13,214 missing values generated)

{com}.                 by ccode: replace HRbetteryear4=1 if (theta_mean[_n+4]-theta_mean)> 0   & e(sample) & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=.   &  year<2012
{txt}(1,653 real changes made)

{com}.                 by ccode: gen HRbetteryear5=0 if e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(13,363 missing values generated)

{com}.                 by ccode: replace HRbetteryear5=1 if (theta_mean[_n+5]-theta_mean)> 0  & e(sample) & theta_mean[_n+5]!=. & theta_mean[_n+4]!=. & theta_mean[_n+3]!=. & theta_mean[_n+2]!=. & theta_mean[_n+1]!=. &  year<2011
{txt}(1,573 real changes made)

{com}.                 count if analysisnegative ==1 & (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & year==2011
  {res}44
{txt}
{com}.                 *44
.                 count if (HRbetteryear1==1 | HRbetteryear2==1| HRbetteryear3==1 | HRbetteryear4==1| HRbetteryear5==1) & e(sample) & year==2011
  {res}118
{txt}
{com}.                 *118
. 
.                 *so:
.                 *accuracy = (24+44)/(82 +67) =.45637584
.                 *recall = (24/60) = .4
.                 *precison = (24/82) = .29268293
. 
.                 *Table 13: Additional Potential Mediators - confidence in police/justice system
.                 reg wvs_confpol l.theta_mean l.cai_cai1 d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       249
                                                {txt}F(11, 237)        =  {res}    29.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4961
                                                {txt}Root MSE          =    {res} .26278

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        wvs_confpol{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1214828{col 33}{space 2} .0214505{col 44}{space 1}    5.66{col 53}{space 3}0.000{col 61}{space 4} .0792249{col 74}{space 3} .1637408
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0110053{col 33}{space 2} .0099326{col 44}{space 1}    1.11{col 53}{space 3}0.269{col 61}{space 4}-.0085622{col 74}{space 3} .0305727
{txt}{space 16}D1. {c |}{col 21}{res}{space 2}  .070077{col 33}{space 2} .0605676{col 44}{space 1}    1.16{col 53}{space 3}0.248{col 61}{space 4}-.0492425{col 74}{space 3} .1893966
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.022715{col 33}{space 2} .0047286{col 44}{space 1}   -4.80{col 53}{space 3}0.000{col 61}{space 4}-.0320305{col 74}{space 3}-.0133994
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0177214{col 33}{space 2} .0131851{col 44}{space 1}    1.34{col 53}{space 3}0.180{col 61}{space 4}-.0082536{col 74}{space 3} .0436964
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0633135{col 33}{space 2} .0226631{col 44}{space 1}    2.79{col 53}{space 3}0.006{col 61}{space 4} .0186666{col 74}{space 3} .1079604
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3826773{col 33}{space 2} .1144651{col 44}{space 1}   -3.34{col 53}{space 3}0.001{col 61}{space 4}-.6081762{col 74}{space 3}-.1571783
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1862593{col 33}{space 2} .0585174{col 44}{space 1}    3.18{col 53}{space 3}0.002{col 61}{space 4} .0709787{col 74}{space 3} .3015399
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.1720454{col 33}{space 2} .0590487{col 44}{space 1}   -2.91{col 53}{space 3}0.004{col 61}{space 4}-.2883727{col 74}{space 3}-.0557181
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .2089026{col 33}{space 2} .0814066{col 44}{space 1}    2.57{col 53}{space 3}0.011{col 61}{space 4} .0485297{col 74}{space 3} .3692755
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.3172181{col 33}{space 2} .0584306{col 44}{space 1}   -5.43{col 53}{space 3}0.000{col 61}{space 4}-.4323277{col 74}{space 3}-.2021084
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  1.74377{col 33}{space 2} .2797507{col 44}{space 1}    6.23{col 53}{space 3}0.000{col 61}{space 4} 1.192654{col 74}{space 3} 2.294885
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table18RR ,  replace word se label
.                 reg wvs_confpol l.theta_mean l.cai_cai2 d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       249
                                                {txt}F(11, 237)        =  {res}    29.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5001
                                                {txt}Root MSE          =    {res} .26175

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        wvs_confpol{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1231881{col 33}{space 2} .0209587{col 44}{space 1}    5.88{col 53}{space 3}0.000{col 61}{space 4} .0818988{col 74}{space 3} .1644773
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0663791{col 33}{space 2} .0587348{col 44}{space 1}    1.13{col 53}{space 3}0.260{col 61}{space 4}-.0493297{col 74}{space 3}  .182088
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .5379562{col 33}{space 2} .3057524{col 44}{space 1}    1.76{col 53}{space 3}0.080{col 61}{space 4}-.0643835{col 74}{space 3} 1.140296
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0227553{col 33}{space 2} .0047366{col 44}{space 1}   -4.80{col 53}{space 3}0.000{col 61}{space 4}-.0320865{col 74}{space 3}-.0134241
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0181804{col 33}{space 2} .0130927{col 44}{space 1}    1.39{col 53}{space 3}0.166{col 61}{space 4}-.0076126{col 74}{space 3} .0439733
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0600749{col 33}{space 2} .0226844{col 44}{space 1}    2.65{col 53}{space 3}0.009{col 61}{space 4} .0153861{col 74}{space 3} .1047637
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3825266{col 33}{space 2} .1123568{col 44}{space 1}   -3.40{col 53}{space 3}0.001{col 61}{space 4}-.6038721{col 74}{space 3}-.1611811
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1915856{col 33}{space 2} .0579044{col 44}{space 1}    3.31{col 53}{space 3}0.001{col 61}{space 4} .0775125{col 74}{space 3} .3056586
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.1684688{col 33}{space 2}  .058728{col 44}{space 1}   -2.87{col 53}{space 3}0.004{col 61}{space 4}-.2841644{col 74}{space 3}-.0527732
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .2031852{col 33}{space 2} .0808195{col 44}{space 1}    2.51{col 53}{space 3}0.013{col 61}{space 4} .0439689{col 74}{space 3} .3624016
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.3195715{col 33}{space 2}  .058256{col 44}{space 1}   -5.49{col 53}{space 3}0.000{col 61}{space 4}-.4343373{col 74}{space 3}-.2048058
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.775668{col 33}{space 2} .2788202{col 44}{space 1}    6.37{col 53}{space 3}0.000{col 61}{space 4} 1.226385{col 74}{space 3}  2.32495
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table18RR ,  append  word se label
.                 reg wvs_confjs l.theta_mean l.cai_cai1 d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       218
                                                {txt}F(11, 206)        =  {res}    16.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4286
                                                {txt}Root MSE          =    {res} .26481

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         wvs_confjs{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0796712{col 33}{space 2} .0229405{col 44}{space 1}    3.47{col 53}{space 3}0.001{col 61}{space 4} .0344429{col 74}{space 3} .1248996
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0115515{col 33}{space 2} .0115365{col 44}{space 1}   -1.00{col 53}{space 3}0.318{col 61}{space 4}-.0342962{col 74}{space 3} .0111933
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .0912253{col 33}{space 2} .0453975{col 44}{space 1}    2.01{col 53}{space 3}0.046{col 61}{space 4} .0017221{col 74}{space 3} .1807286
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0244715{col 33}{space 2} .0052048{col 44}{space 1}   -4.70{col 53}{space 3}0.000{col 61}{space 4} -.034733{col 74}{space 3}  -.01421
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0322973{col 33}{space 2} .0159572{col 44}{space 1}    2.02{col 53}{space 3}0.044{col 61}{space 4} .0008369{col 74}{space 3} .0637577
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0511609{col 33}{space 2} .0261783{col 44}{space 1}    1.95{col 53}{space 3}0.052{col 61}{space 4}-.0004508{col 74}{space 3} .1027726
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0074529{col 33}{space 2} .2243921{col 44}{space 1}   -0.03{col 53}{space 3}0.974{col 61}{space 4}-.4498524{col 74}{space 3} .4349467
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1505286{col 33}{space 2} .0724802{col 44}{space 1}    2.08{col 53}{space 3}0.039{col 61}{space 4} .0076305{col 74}{space 3} .2934268
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.3899444{col 33}{space 2} .0612397{col 44}{space 1}   -6.37{col 53}{space 3}0.000{col 61}{space 4}-.5106813{col 74}{space 3}-.2692074
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .1124774{col 33}{space 2} .0887972{col 44}{space 1}    1.27{col 53}{space 3}0.207{col 61}{space 4}-.0625903{col 74}{space 3} .2875452
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.2414101{col 33}{space 2} .0623685{col 44}{space 1}   -3.87{col 53}{space 3}0.000{col 61}{space 4}-.3643726{col 74}{space 3}-.1184476
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.755196{col 33}{space 2} .3214895{col 44}{space 1}    5.46{col 53}{space 3}0.000{col 61}{space 4} 1.121364{col 74}{space 3} 2.389028
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table18RR ,  append  word se label
.                 reg wvs_confjs l.theta_mean l.cai_cai2 d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       218
                                                {txt}F(11, 206)        =  {res}    16.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4312
                                                {txt}Root MSE          =    {res}  .2642

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         wvs_confjs{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0810563{col 33}{space 2} .0228556{col 44}{space 1}    3.55{col 53}{space 3}0.000{col 61}{space 4} .0359954{col 74}{space 3} .1261172
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0987482{col 33}{space 2} .0682541{col 44}{space 1}   -1.45{col 53}{space 3}0.149{col 61}{space 4}-.2333144{col 74}{space 3} .0358179
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .4700725{col 33}{space 2} .1961976{col 44}{space 1}    2.40{col 53}{space 3}0.017{col 61}{space 4} .0832598{col 74}{space 3} .8568851
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0238703{col 33}{space 2} .0051931{col 44}{space 1}   -4.60{col 53}{space 3}0.000{col 61}{space 4}-.0341088{col 74}{space 3}-.0136318
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0336072{col 33}{space 2} .0159033{col 44}{space 1}    2.11{col 53}{space 3}0.036{col 61}{space 4} .0022532{col 74}{space 3} .0649613
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0499422{col 33}{space 2} .0260991{col 44}{space 1}    1.91{col 53}{space 3}0.057{col 61}{space 4}-.0015134{col 74}{space 3} .1013978
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0144119{col 33}{space 2} .2209063{col 44}{space 1}   -0.07{col 53}{space 3}0.948{col 61}{space 4}-.4499391{col 74}{space 3} .4211152
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1512848{col 33}{space 2} .0734084{col 44}{space 1}    2.06{col 53}{space 3}0.041{col 61}{space 4} .0065568{col 74}{space 3} .2960129
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.3936528{col 33}{space 2}  .061237{col 44}{space 1}   -6.43{col 53}{space 3}0.000{col 61}{space 4}-.5143844{col 74}{space 3}-.2729212
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0996499{col 33}{space 2} .0896639{col 44}{space 1}    1.11{col 53}{space 3}0.268{col 61}{space 4}-.0771267{col 74}{space 3} .2764265
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.2294867{col 33}{space 2} .0622318{col 44}{space 1}   -3.69{col 53}{space 3}0.000{col 61}{space 4}-.3521795{col 74}{space 3}-.1067939
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.749719{col 33}{space 2} .3188632{col 44}{space 1}    5.49{col 53}{space 3}0.000{col 61}{space 4} 1.121065{col 74}{space 3} 2.378372
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table18RR ,  append  word se label
. 
.                 *Table 14: confidence in government, willingness to fight 
.                 reg wvs_confgov l.theta_mean l.cai_cai1 d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       217
                                                {txt}F(11, 205)        =  {res}     6.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3166
                                                {txt}Root MSE          =    {res} .31866

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        wvs_confgov{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0455571{col 33}{space 2} .0288788{col 44}{space 1}    1.58{col 53}{space 3}0.116{col 61}{space 4}-.0113805{col 74}{space 3} .1024947
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0063827{col 33}{space 2} .0137102{col 44}{space 1}   -0.47{col 53}{space 3}0.642{col 61}{space 4}-.0334137{col 74}{space 3} .0206483
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .1291024{col 33}{space 2} .0621005{col 44}{space 1}    2.08{col 53}{space 3}0.039{col 61}{space 4} .0066649{col 74}{space 3}   .25154
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0340051{col 33}{space 2} .0067542{col 44}{space 1}   -5.03{col 53}{space 3}0.000{col 61}{space 4}-.0473217{col 74}{space 3}-.0206886
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0269956{col 33}{space 2} .0198038{col 44}{space 1}    1.36{col 53}{space 3}0.174{col 61}{space 4}-.0120496{col 74}{space 3} .0660408
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0238106{col 33}{space 2} .0284459{col 44}{space 1}   -0.84{col 53}{space 3}0.404{col 61}{space 4}-.0798947{col 74}{space 3} .0322735
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.121109{col 33}{space 2} .1765659{col 44}{space 1}   -0.69{col 53}{space 3}0.494{col 61}{space 4}-.4692269{col 74}{space 3} .2270089
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0586481{col 33}{space 2} .0763732{col 44}{space 1}    0.77{col 53}{space 3}0.443{col 61}{space 4}-.0919295{col 74}{space 3} .2092257
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.1980614{col 33}{space 2} .0806753{col 44}{space 1}   -2.46{col 53}{space 3}0.015{col 61}{space 4}-.3571211{col 74}{space 3}-.0390016
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0352944{col 33}{space 2} .1090305{col 44}{space 1}    0.32{col 53}{space 3}0.746{col 61}{space 4}-.1796705{col 74}{space 3} .2502594
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0959942{col 33}{space 2} .0827768{col 44}{space 1}   -1.16{col 53}{space 3}0.248{col 61}{space 4}-.2591973{col 74}{space 3} .0672088
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.389535{col 33}{space 2}  .353046{col 44}{space 1}    6.77{col 53}{space 3}0.000{col 61}{space 4} 1.693468{col 74}{space 3} 3.085602
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table19RR ,  replace  word se label
.                 reg wvs_confgov l.theta_mean l.cai_cai2 d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       217
                                                {txt}F(11, 205)        =  {res}     7.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3193
                                                {txt}Root MSE          =    {res} .31802

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        wvs_confgov{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0471832{col 33}{space 2} .0287874{col 44}{space 1}    1.64{col 53}{space 3}0.103{col 61}{space 4}-.0095741{col 74}{space 3} .1039405
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0527434{col 33}{space 2} .0828853{col 44}{space 1}   -0.64{col 53}{space 3}0.525{col 61}{space 4}-.2161604{col 74}{space 3} .1106735
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .7576329{col 33}{space 2} .2857298{col 44}{space 1}    2.65{col 53}{space 3}0.009{col 61}{space 4}  .194287{col 74}{space 3} 1.320979
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.033504{col 33}{space 2} .0068337{col 44}{space 1}   -4.90{col 53}{space 3}0.000{col 61}{space 4}-.0469774{col 74}{space 3}-.0200306
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0280658{col 33}{space 2} .0198902{col 44}{space 1}    1.41{col 53}{space 3}0.160{col 61}{space 4}-.0111498{col 74}{space 3} .0672814
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0273276{col 33}{space 2} .0285127{col 44}{space 1}   -0.96{col 53}{space 3}0.339{col 61}{space 4}-.0835434{col 74}{space 3} .0288882
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1258061{col 33}{space 2} .1742146{col 44}{space 1}   -0.72{col 53}{space 3}0.471{col 61}{space 4}-.4692882{col 74}{space 3} .2176759
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0629378{col 33}{space 2} .0765806{col 44}{space 1}    0.82{col 53}{space 3}0.412{col 61}{space 4}-.0880488{col 74}{space 3} .2139245
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.1930143{col 33}{space 2} .0804856{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}   -.3517{col 74}{space 3}-.0343286
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0240478{col 33}{space 2} .1095019{col 44}{space 1}    0.22{col 53}{space 3}0.826{col 61}{space 4}-.1918465{col 74}{space 3} .2399421
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0894831{col 33}{space 2} .0845006{col 44}{space 1}   -1.06{col 53}{space 3}0.291{col 61}{space 4}-.2560848{col 74}{space 3} .0771186
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.401662{col 33}{space 2} .3529524{col 44}{space 1}    6.80{col 53}{space 3}0.000{col 61}{space 4}  1.70578{col 74}{space 3} 3.097544
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table19RR ,  append  word se label
.                 reg wvs_fight l.theta_mean l.cai_cai1 d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       189
                                                {txt}F(11, 177)        =  {res}    10.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3355
                                                {txt}Root MSE          =    {res} .12777

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}          wvs_fight{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129975{col 33}{space 2} .0130925{col 44}{space 1}   -0.99{col 53}{space 3}0.322{col 61}{space 4}-.0388349{col 74}{space 3}   .01284
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .012806{col 33}{space 2} .0054979{col 44}{space 1}    2.33{col 53}{space 3}0.021{col 61}{space 4} .0019562{col 74}{space 3} .0236558
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .0200746{col 33}{space 2} .0115431{col 44}{space 1}    1.74{col 53}{space 3}0.084{col 61}{space 4}-.0027053{col 74}{space 3} .0428545
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0056156{col 33}{space 2} .0022678{col 44}{space 1}   -2.48{col 53}{space 3}0.014{col 61}{space 4}-.0100911{col 74}{space 3}-.0011402
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0187895{col 33}{space 2} .0080267{col 44}{space 1}   -2.34{col 53}{space 3}0.020{col 61}{space 4}-.0346298{col 74}{space 3}-.0029492
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0305117{col 33}{space 2} .0118261{col 44}{space 1}   -2.58{col 53}{space 3}0.011{col 61}{space 4}-.0538499{col 74}{space 3}-.0071735
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0923251{col 33}{space 2} .0451829{col 44}{space 1}    2.04{col 53}{space 3}0.042{col 61}{space 4} .0031585{col 74}{space 3} .1814917
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0546182{col 33}{space 2} .0361374{col 44}{space 1}    1.51{col 53}{space 3}0.132{col 61}{space 4}-.0166973{col 74}{space 3} .1259338
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2}-.0252358{col 33}{space 2} .0418214{col 44}{space 1}   -0.60{col 53}{space 3}0.547{col 61}{space 4}-.1077685{col 74}{space 3}  .057297
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0618983{col 33}{space 2} .0401755{col 44}{space 1}    1.54{col 53}{space 3}0.125{col 61}{space 4}-.0173863{col 74}{space 3} .1411829
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.050334{col 33}{space 2} .0284318{col 44}{space 1}   -1.77{col 53}{space 3}0.078{col 61}{space 4}-.1064431{col 74}{space 3}  .005775
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.276912{col 33}{space 2} .1789129{col 44}{space 1}    7.14{col 53}{space 3}0.000{col 61}{space 4}  .923835{col 74}{space 3} 1.629989
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table19RR ,  append  word se label
.                 reg wvs_fight l.theta_mean l.cai_cai2 d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       189
                                                {txt}F(11, 177)        =  {res}    10.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3351
                                                {txt}Root MSE          =    {res} .12781

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}          wvs_fight{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0128287{col 33}{space 2} .0130964{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4} -.038674{col 74}{space 3} .0130166
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0775064{col 33}{space 2} .0332297{col 44}{space 1}    2.33{col 53}{space 3}0.021{col 61}{space 4}  .011929{col 74}{space 3} .1430838
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .0627314{col 33}{space 2} .0604588{col 44}{space 1}    1.04{col 53}{space 3}0.301{col 61}{space 4}-.0565815{col 74}{space 3} .1820443
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0057165{col 33}{space 2} .0022697{col 44}{space 1}   -2.52{col 53}{space 3}0.013{col 61}{space 4}-.0101956{col 74}{space 3}-.0012374
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0192995{col 33}{space 2} .0080853{col 44}{space 1}   -2.39{col 53}{space 3}0.018{col 61}{space 4}-.0352555{col 74}{space 3}-.0033434
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0307514{col 33}{space 2} .0120227{col 44}{space 1}   -2.56{col 53}{space 3}0.011{col 61}{space 4}-.0544776{col 74}{space 3}-.0070252
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0935603{col 33}{space 2}  .045128{col 44}{space 1}    2.07{col 53}{space 3}0.040{col 61}{space 4} .0045021{col 74}{space 3} .1826185
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0558179{col 33}{space 2} .0363498{col 44}{space 1}    1.54{col 53}{space 3}0.126{col 61}{space 4}-.0159169{col 74}{space 3} .1275527
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2} -.025281{col 33}{space 2} .0410889{col 44}{space 1}   -0.62{col 53}{space 3}0.539{col 61}{space 4}-.1063682{col 74}{space 3} .0558061
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0621278{col 33}{space 2} .0403062{col 44}{space 1}    1.54{col 53}{space 3}0.125{col 61}{space 4}-.0174147{col 74}{space 3} .1416704
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0545636{col 33}{space 2} .0290805{col 44}{space 1}   -1.88{col 53}{space 3}0.062{col 61}{space 4}-.1119528{col 74}{space 3} .0028256
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.303499{col 33}{space 2} .1816583{col 44}{space 1}    7.18{col 53}{space 3}0.000{col 61}{space 4} .9450037{col 74}{space 3} 1.661994
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table19RR ,  append  word se label
. 
.                 *Table 15: it's not general happiness - people are happier in countries with restrictions 
.                 reg wvs_hap l.theta_mean l.cai_cai1 d.cai_cai1 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       253
                                                {txt}F(11, 241)        =  {res}    12.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3611
                                                {txt}Root MSE          =    {res}  .2264

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            wvs_hap{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0397089{col 33}{space 2} .0195182{col 44}{space 1}    2.03{col 53}{space 3}0.043{col 61}{space 4} .0012608{col 74}{space 3}  .078157
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0335779{col 33}{space 2} .0096005{col 44}{space 1}   -3.50{col 53}{space 3}0.001{col 61}{space 4}-.0524895{col 74}{space 3}-.0146663
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .0280389{col 33}{space 2} .0209402{col 44}{space 1}    1.34{col 53}{space 3}0.182{col 61}{space 4}-.0132104{col 74}{space 3} .0692881
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.006476{col 33}{space 2} .0032999{col 44}{space 1}   -1.96{col 53}{space 3}0.051{col 61}{space 4}-.0129763{col 74}{space 3} .0000242
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0257394{col 33}{space 2} .0116444{col 44}{space 1}    2.21{col 53}{space 3}0.028{col 61}{space 4} .0028016{col 74}{space 3} .0486773
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0756008{col 33}{space 2} .0171092{col 44}{space 1}    4.42{col 53}{space 3}0.000{col 61}{space 4}  .041898{col 74}{space 3} .1093035
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0463668{col 33}{space 2} .0735164{col 44}{space 1}   -0.63{col 53}{space 3}0.529{col 61}{space 4}-.1911836{col 74}{space 3}   .09845
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1067984{col 33}{space 2} .0553854{col 44}{space 1}    1.93{col 53}{space 3}0.055{col 61}{space 4}-.0023029{col 74}{space 3} .2158996
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2} .0606568{col 33}{space 2} .0524003{col 44}{space 1}    1.16{col 53}{space 3}0.248{col 61}{space 4}-.0425641{col 74}{space 3} .1638778
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0296942{col 33}{space 2}  .068373{col 44}{space 1}    0.43{col 53}{space 3}0.664{col 61}{space 4}-.1049908{col 74}{space 3} .1643791
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.1354537{col 33}{space 2} .0555352{col 44}{space 1}   -2.44{col 53}{space 3}0.015{col 61}{space 4}  -.24485{col 74}{space 3}-.0260575
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.102494{col 33}{space 2} .2417635{col 44}{space 1}    8.70{col 53}{space 3}0.000{col 61}{space 4} 1.626254{col 74}{space 3} 2.578733
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table20RR ,  replace word se label
.                 reg wvs_hap l.theta_mean l.cai_cai2 d.cai_cai2 l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Linear regression                               Number of obs     = {res}       253
                                                {txt}F(11, 241)        =  {res}    12.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3676
                                                {txt}Root MSE          =    {res} .22524

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            wvs_hap{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0396525{col 33}{space 2} .0193634{col 44}{space 1}    2.05{col 53}{space 3}0.042{col 61}{space 4} .0015094{col 74}{space 3} .0777955
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2206341{col 33}{space 2} .0556531{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.3302628{col 74}{space 3}-.1110055
{txt}{space 16}D1. {c |}{col 21}{res}{space 2} .1106721{col 33}{space 2}  .100493{col 44}{space 1}    1.10{col 53}{space 3}0.272{col 61}{space 4}-.0872847{col 74}{space 3} .3086289
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.005847{col 33}{space 2}  .003253{col 44}{space 1}   -1.80{col 53}{space 3}0.074{col 61}{space 4}-.0122549{col 74}{space 3} .0005608
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0269245{col 33}{space 2} .0114964{col 44}{space 1}    2.34{col 53}{space 3}0.020{col 61}{space 4} .0042783{col 74}{space 3} .0495708
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}   .07606{col 33}{space 2} .0170368{col 44}{space 1}    4.46{col 53}{space 3}0.000{col 61}{space 4} .0424999{col 74}{space 3}   .10962
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0547786{col 33}{space 2} .0711543{col 44}{space 1}   -0.77{col 53}{space 3}0.442{col 61}{space 4}-.1949423{col 74}{space 3} .0853851
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1043291{col 33}{space 2}  .055104{col 44}{space 1}    1.89{col 53}{space 3}0.060{col 61}{space 4}-.0042178{col 74}{space 3} .2128761
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2} .0578837{col 33}{space 2} .0525242{col 44}{space 1}    1.10{col 53}{space 3}0.272{col 61}{space 4}-.0455814{col 74}{space 3} .1613488
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .0213588{col 33}{space 2} .0693759{col 44}{space 1}    0.31{col 53}{space 3}0.758{col 61}{space 4}-.1153019{col 74}{space 3} .1580194
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.1215158{col 33}{space 2}  .055402{col 44}{space 1}   -2.19{col 53}{space 3}0.029{col 61}{space 4}-.2306498{col 74}{space 3}-.0123818
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.050973{col 33}{space 2} .2409536{col 44}{space 1}    8.51{col 53}{space 3}0.000{col 61}{space 4} 1.576329{col 74}{space 3} 2.525617
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 *outreg2 using Table20RR ,  append  word se label
. 
.                 *Table 16: Non-violent protest  - women and non-women
.                 *protests go down if abortion rights curtailed
.                 nbreg nonwomennonvprotgovt l.nonwomennonvprotgovt l.theta_mean l.cai_cai1  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -23387.41}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -19999.48}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-5718.8228}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-5169.2843}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-4736.8245}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-4733.4211}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-4733.4188}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-4733.4188}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-4126.9437}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3586.4781}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-3427.9613}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-3418.9501}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-3418.9467}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-3418.9467}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3244.3315}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3130.3571}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-3108.8246}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-3108.4881}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -3108.488}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,715}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:599.44}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-3108.488}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0908}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}nonwomennonvprotgovt{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
nonwomennonvprotgovt {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1110341{col 34}{space 2} .0158106{col 45}{space 1}    7.02{col 54}{space 3}0.000{col 62}{space 4} .0800459{col 75}{space 3} .1420223
{txt}{space 20} {c |}
{space 10}theta_mean {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.2930939{col 34}{space 2} .0645826{col 45}{space 1}   -4.54{col 54}{space 3}0.000{col 62}{space 4}-.4196735{col 75}{space 3}-.1665143
{txt}{space 20} {c |}
{space 12}cai_cai1 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0794528{col 34}{space 2}  .030736{col 45}{space 1}    2.59{col 54}{space 3}0.010{col 62}{space 4} .0192113{col 75}{space 3} .1396942
{txt}{space 20} {c |}
{space 13}polity2 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0001033{col 34}{space 2} .0115086{col 45}{space 1}   -0.01{col 54}{space 3}0.993{col 62}{space 4}-.0226597{col 75}{space 3} .0224532
{txt}{space 20} {c |}
{space 11}lnwdi_pop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .4609863{col 34}{space 2} .0435415{col 45}{space 1}   10.59{col 54}{space 3}0.000{col 62}{space 4} .3756465{col 75}{space 3} .5463261
{txt}{space 20} {c |}
{space 1}lnwdi_gdpcapcon2010 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .2540071{col 34}{space 2} .0509993{col 45}{space 1}    4.98{col 54}{space 3}0.000{col 62}{space 4} .1540503{col 75}{space 3} .3539639
{txt}{space 20} {c |}
{space 8}intllocation {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.2432297{col 34}{space 2}  .232302{col 45}{space 1}   -1.05{col 54}{space 3}0.295{col 62}{space 4}-.6985333{col 75}{space 3} .2120738
{txt}{space 20} {c |}
{space 7}civillocation {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.095918{col 34}{space 2} .1517665{col 45}{space 1}   -0.63{col 54}{space 3}0.527{col 62}{space 4}-.3933749{col 75}{space 3} .2015389
{txt}{space 20} {c |}
{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.1629003{col 34}{space 2} .1877259{col 45}{space 1}   -0.87{col 54}{space 3}0.386{col 62}{space 4}-.5308363{col 75}{space 3} .2050356
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.3146046{col 34}{space 2} .2095029{col 45}{space 1}   -1.50{col 54}{space 3}0.133{col 62}{space 4}-.7252226{col 75}{space 3} .0960135
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.5739432{col 34}{space 2} .2340403{col 45}{space 1}   -2.45{col 54}{space 3}0.014{col 62}{space 4}-1.032654{col 75}{space 3}-.1152326
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -10.2721{col 34}{space 2} .7444397{col 45}{space 1}  -13.80{col 54}{space 3}0.000{col 62}{space 4}-11.73117{col 75}{space 3}-8.813022
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2} 1.121658{col 34}{space 2} .0716999{col 62}{space 4} .9811292{col 75}{space 3} 1.262188
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} 3.069941{col 34}{space 2} .2201145{col 62}{space 4} 2.667467{col 75}{space 3} 3.533142
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table21RR ,  replace word se label
.                 nbreg nonwomennonvprotgovt l.nonwomennonvprotgovt l.theta_mean l.cai_cai2  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-23347.529}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-19158.588}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-5605.8921}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-5066.4509}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-4734.4265}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-4730.8874}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-4730.8849}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-4730.8849}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-4126.9437}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3586.4781}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-3427.9613}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-3418.9501}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-3418.9467}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-3418.9467}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3243.9006}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -3129.897}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-3107.1457}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-3106.7737}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-3106.7736}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,715}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:602.82}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-3106.7736}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0913}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}nonwomennonvprotgovt{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
nonwomennonvprotgovt {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1101726{col 34}{space 2} .0159155{col 45}{space 1}    6.92{col 54}{space 3}0.000{col 62}{space 4} .0789788{col 75}{space 3} .1413664
{txt}{space 20} {c |}
{space 10}theta_mean {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.2985311{col 34}{space 2} .0651579{col 45}{space 1}   -4.58{col 54}{space 3}0.000{col 62}{space 4}-.4262382{col 75}{space 3} -.170824
{txt}{space 20} {c |}
{space 12}cai_cai2 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .5664588{col 34}{space 2} .1917999{col 45}{space 1}    2.95{col 54}{space 3}0.003{col 62}{space 4} .1905379{col 75}{space 3} .9423797
{txt}{space 20} {c |}
{space 13}polity2 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0006845{col 34}{space 2} .0115318{col 45}{space 1}   -0.06{col 54}{space 3}0.953{col 62}{space 4}-.0232865{col 75}{space 3} .0219175
{txt}{space 20} {c |}
{space 11}lnwdi_pop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .4604745{col 34}{space 2} .0436949{col 45}{space 1}   10.54{col 54}{space 3}0.000{col 62}{space 4} .3748341{col 75}{space 3}  .546115
{txt}{space 20} {c |}
{space 1}lnwdi_gdpcapcon2010 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .2482693{col 34}{space 2} .0510975{col 45}{space 1}    4.86{col 54}{space 3}0.000{col 62}{space 4} .1481201{col 75}{space 3} .3484186
{txt}{space 20} {c |}
{space 8}intllocation {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.2300871{col 34}{space 2}  .234991{col 45}{space 1}   -0.98{col 54}{space 3}0.328{col 62}{space 4}-.6906609{col 75}{space 3} .2304867
{txt}{space 20} {c |}
{space 7}civillocation {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0946638{col 34}{space 2} .1524773{col 45}{space 1}   -0.62{col 54}{space 3}0.535{col 62}{space 4}-.3935139{col 75}{space 3} .2041863
{txt}{space 20} {c |}
{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.1398532{col 34}{space 2} .1866742{col 45}{space 1}   -0.75{col 54}{space 3}0.454{col 62}{space 4} -.505728{col 75}{space 3} .2260216
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.2944833{col 34}{space 2} .2102337{col 45}{space 1}   -1.40{col 54}{space 3}0.161{col 62}{space 4}-.7065338{col 75}{space 3} .1175672
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.6323701{col 34}{space 2} .2382098{col 45}{space 1}   -2.65{col 54}{space 3}0.008{col 62}{space 4}-1.099253{col 75}{space 3}-.1654874
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -10.1747{col 34}{space 2} .7523601{col 45}{space 1}  -13.52{col 54}{space 3}0.000{col 62}{space 4} -11.6493{col 75}{space 3}-8.700104
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2} 1.119142{col 34}{space 2} .0716508{col 62}{space 4} .9787092{col 75}{space 3} 1.259575
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} 3.062226{col 34}{space 2} .2194109{col 62}{space 4} 2.661019{col 75}{space 3} 3.523924
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table21RR ,  append word se label
.                 nbreg nonvprotgovtwomen l.nonvprotgovtwomen l.theta_mean l.cai_cai1  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7392.7557}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-5919.0201}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-3398.4355}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-2293.2205}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1576.4331}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-1532.4603}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-1527.5749}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-1527.5519}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-1527.5519}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1564.2409}  (not concave)
Iteration 1:{space 2}Log pseudolikelihood = {res:-1161.4263}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -1140.782}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1140.7809}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1140.7809}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1087.9659}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1042.9026}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1038.1783}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1038.1187}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1038.1186}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,715}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:208.29}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1038.1186}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0900}

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}  nonvprotgovtwomen{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}nonvprotgovtwomen {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .143659{col 33}{space 2} .0399418{col 44}{space 1}    3.60{col 53}{space 3}0.000{col 61}{space 4} .0653745{col 74}{space 3} .2219434
{txt}{space 19} {c |}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.4371741{col 33}{space 2} .1623099{col 44}{space 1}   -2.69{col 53}{space 3}0.007{col 61}{space 4}-.7552957{col 74}{space 3}-.1190525
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1565685{col 33}{space 2} .0759102{col 44}{space 1}    2.06{col 53}{space 3}0.039{col 61}{space 4} .0077872{col 74}{space 3} .3053499
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0127419{col 33}{space 2} .0238053{col 44}{space 1}    0.54{col 53}{space 3}0.592{col 61}{space 4}-.0339157{col 74}{space 3} .0593995
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .5382851{col 33}{space 2} .0804331{col 44}{space 1}    6.69{col 53}{space 3}0.000{col 61}{space 4} .3806392{col 74}{space 3}  .695931
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .419781{col 33}{space 2} .1199279{col 44}{space 1}    3.50{col 53}{space 3}0.000{col 61}{space 4} .1847266{col 74}{space 3} .6548355
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .5021435{col 33}{space 2} .5323314{col 44}{space 1}    0.94{col 53}{space 3}0.346{col 61}{space 4}-.5412068{col 74}{space 3} 1.545494
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.6863214{col 33}{space 2} .2645234{col 44}{space 1}   -2.59{col 53}{space 3}0.009{col 61}{space 4}-1.204778{col 74}{space 3} -.167865
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2} 1.009892{col 33}{space 2} .3646272{col 44}{space 1}    2.77{col 53}{space 3}0.006{col 61}{space 4} .2952357{col 74}{space 3} 1.724548
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .9005392{col 33}{space 2} .3835036{col 44}{space 1}    2.35{col 53}{space 3}0.019{col 61}{space 4} .1488861{col 74}{space 3} 1.652192
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.4216001{col 33}{space 2} .4731895{col 44}{space 1}   -0.89{col 53}{space 3}0.373{col 61}{space 4}-1.349034{col 74}{space 3} .5058342
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} -15.5667{col 33}{space 2} 1.619657{col 44}{space 1}   -9.61{col 53}{space 3}0.000{col 61}{space 4}-18.74117{col 74}{space 3}-12.39223
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2} 2.255901{col 33}{space 2} .1621708{col 61}{space 4} 1.938052{col 74}{space 3}  2.57375
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} 9.543887{col 33}{space 2}  1.54774{col 61}{space 4} 6.945207{col 74}{space 3} 13.11491
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table21RR ,  append word se label
.                 nbreg nonvprotgovtwomen l.nonvprotgovtwomen l.theta_mean l.cai_cai2  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation liarda_chcatpct  liarda_isgenpct i.GEO7 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7335.2592}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-5953.9767}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-3364.9317}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-2308.1205}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1848.6807}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-1563.1805}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-1528.1962}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-1525.2191}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-1525.2113}  
Iteration 9:{space 2}Log pseudolikelihood = {res:-1525.2113}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1564.2409}  (not concave)
Iteration 1:{space 2}Log pseudolikelihood = {res:-1161.4263}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -1140.782}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1140.7809}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1140.7809}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -1087.331}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1041.5619}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1036.6913}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1036.6271}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -1036.627}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,715}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:214.69}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-1036.627}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0913}

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}  nonvprotgovtwomen{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}nonvprotgovtwomen {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1389874{col 33}{space 2}  .040387{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} .0598304{col 74}{space 3} .2181445
{txt}{space 19} {c |}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.4496579{col 33}{space 2} .1645544{col 44}{space 1}   -2.73{col 53}{space 3}0.006{col 61}{space 4}-.7721785{col 74}{space 3}-.1271372
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  1.07842{col 33}{space 2} .4671353{col 44}{space 1}    2.31{col 53}{space 3}0.021{col 61}{space 4} .1628519{col 74}{space 3} 1.993989
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0132905{col 33}{space 2} .0241358{col 44}{space 1}    0.55{col 53}{space 3}0.582{col 61}{space 4}-.0340148{col 74}{space 3} .0605958
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .5350532{col 33}{space 2} .0795707{col 44}{space 1}    6.72{col 53}{space 3}0.000{col 61}{space 4} .3790976{col 74}{space 3} .6910089
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .4157508{col 33}{space 2} .1209218{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} .1787484{col 74}{space 3} .6527532
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .5249421{col 33}{space 2} .5434018{col 44}{space 1}    0.97{col 53}{space 3}0.334{col 61}{space 4}-.5401059{col 74}{space 3}  1.58999
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.6847938{col 33}{space 2} .2632102{col 44}{space 1}   -2.60{col 53}{space 3}0.009{col 61}{space 4}-1.200676{col 74}{space 3}-.1689113
{txt}{space 19} {c |}
{space 4}liarda_chcatpct {c |}{col 21}{res}{space 2} 1.030155{col 33}{space 2} .3672488{col 44}{space 1}    2.81{col 53}{space 3}0.005{col 61}{space 4} .3103609{col 74}{space 3}  1.74995
{txt}{space 4}liarda_isgenpct {c |}{col 21}{res}{space 2} .9350663{col 33}{space 2}  .387818{col 44}{space 1}    2.41{col 53}{space 3}0.016{col 61}{space 4} .1749569{col 74}{space 3} 1.695176
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.5157812{col 33}{space 2} .4792419{col 44}{space 1}   -1.08{col 53}{space 3}0.282{col 61}{space 4}-1.455078{col 74}{space 3} .4235156
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-15.38585{col 33}{space 2} 1.615315{col 44}{space 1}   -9.52{col 53}{space 3}0.000{col 61}{space 4}-18.55181{col 74}{space 3}-12.21989
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/lnalpha {c |}{col 21}{res}{space 2} 2.249152{col 33}{space 2} .1605412{col 61}{space 4} 1.934497{col 74}{space 3} 2.563807
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              alpha {c |}{col 21}{res}{space 2} 9.479694{col 33}{space 2} 1.521881{col 61}{space 4} 6.920563{col 74}{space 3} 12.98516
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 **outreg2 using Table21RR ,  append word se label
. 
.                 *Table 17 - Secular values index  
.                 *another robustness check - secular values index wel_svi * Sacred-vs.-Secular Values - 12-item index measuring a national culture's secular distance to sacredsources of authority, including (1) religious authority (faith, commitment, practice), (2) patrimonial authority (the nation, the state, the parents), (3) order institutions (army, police, courts),and (4) normative authority (anti-bribery, anti-cheating and anti-evasion norms).Source: Index invented and documented inWelzel, Freedom Rising (2013: 63-66), www.cambridge.org/welzel(Online Appendix, p. 12-19), based on data from the World Values Surveys, all countries and timepoints.Scaling: Continuous scale, ranging from a theoretical minimum of 0 when the least secular positionis taken on all 12 items, to a maximum of 1.0 when the most secular position is taken on all 12items. Intermediate positions are given in fractions of 1.0. Country scores are population averages(arithmetic mean) on the 0-1 index.
. 
.                 *idea is that reducing abortion rights decreases secular values, ultimately harming HR
. 
.                 reg wel_svi  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}       205
                                                {txt}F(10, 194)        =  {res}    25.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5165
                                                {txt}Root MSE          =    {res} .07074

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            wel_svi{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0080677{col 33}{space 2} .0029318{col 44}{space 1}    2.75{col 53}{space 3}0.006{col 61}{space 4} .0022854{col 74}{space 3}   .01385
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0016425{col 33}{space 2} .0015499{col 44}{space 1}    1.06{col 53}{space 3}0.291{col 61}{space 4}-.0014143{col 74}{space 3} .0046993
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0014274{col 33}{space 2} .0042854{col 44}{space 1}   -0.33{col 53}{space 3}0.739{col 61}{space 4}-.0098793{col 74}{space 3} .0070245
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0155777{col 33}{space 2} .0059546{col 44}{space 1}    2.62{col 53}{space 3}0.010{col 61}{space 4} .0038337{col 74}{space 3} .0273217
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0027042{col 33}{space 2} .0289125{col 44}{space 1}   -0.09{col 53}{space 3}0.926{col 61}{space 4}-.0597273{col 74}{space 3} .0543189
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0031562{col 33}{space 2} .0134383{col 44}{space 1}    0.23{col 53}{space 3}0.815{col 61}{space 4}-.0233477{col 74}{space 3} .0296601
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .000068{col 33}{space 2}    .0005{col 44}{space 1}    0.14{col 53}{space 3}0.892{col 61}{space 4}-.0009182{col 74}{space 3} .0010542
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0146983{col 33}{space 2}  .017507{col 44}{space 1}   -0.84{col 53}{space 3}0.402{col 61}{space 4}-.0492267{col 74}{space 3} .0198302
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1173646{col 33}{space 2} .0212174{col 44}{space 1}   -5.53{col 53}{space 3}0.000{col 61}{space 4}-.1592109{col 74}{space 3}-.0755183
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} .0904109{col 33}{space 2} .0169943{col 44}{space 1}    5.32{col 53}{space 3}0.000{col 61}{space 4} .0568937{col 74}{space 3} .1239282
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2379563{col 33}{space 2} .0904148{col 44}{space 1}    2.63{col 53}{space 3}0.009{col 61}{space 4} .0596342{col 74}{space 3} .4162785
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table24RR ,  replace word se label
. 
.                 reg wel_svi  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}       205
                                                {txt}F(10, 194)        =  {res}    25.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5236
                                                {txt}Root MSE          =    {res} .07021

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            wel_svi{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0567347{col 33}{space 2} .0180912{col 44}{space 1}    3.14{col 53}{space 3}0.002{col 61}{space 4} .0210539{col 74}{space 3} .0924155
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0015231{col 33}{space 2}  .001518{col 44}{space 1}    1.00{col 53}{space 3}0.317{col 61}{space 4}-.0014709{col 74}{space 3} .0045171
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0016101{col 33}{space 2} .0041891{col 44}{space 1}   -0.38{col 53}{space 3}0.701{col 61}{space 4}-.0098722{col 74}{space 3}  .006652
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0149133{col 33}{space 2} .0058753{col 44}{space 1}    2.54{col 53}{space 3}0.012{col 61}{space 4} .0033256{col 74}{space 3} .0265011
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0025293{col 33}{space 2} .0286912{col 44}{space 1}   -0.09{col 53}{space 3}0.930{col 61}{space 4} -.059116{col 74}{space 3} .0540574
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0040073{col 33}{space 2} .0135736{col 44}{space 1}    0.30{col 53}{space 3}0.768{col 61}{space 4}-.0227635{col 74}{space 3}  .030778
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .000096{col 33}{space 2} .0004956{col 44}{space 1}    0.19{col 53}{space 3}0.847{col 61}{space 4}-.0008816{col 74}{space 3} .0010735
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0119806{col 33}{space 2} .0175173{col 44}{space 1}   -0.68{col 53}{space 3}0.495{col 61}{space 4}-.0465294{col 74}{space 3} .0225682
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1146295{col 33}{space 2} .0214334{col 44}{space 1}   -5.35{col 53}{space 3}0.000{col 61}{space 4}-.1569019{col 74}{space 3}-.0723571
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} .0851228{col 33}{space 2} .0170808{col 44}{space 1}    4.98{col 53}{space 3}0.000{col 61}{space 4} .0514349{col 74}{space 3} .1188107
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}   .25047{col 33}{space 2} .0892428{col 44}{space 1}    2.81{col 53}{space 3}0.006{col 61}{space 4} .0744592{col 74}{space 3} .4264807
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table24RR ,  append word se label
. 
.                 reg theta_mean   l.wel_svi  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}       207
                                                {txt}F(11, 195)        =  {res}    75.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7609
                                                {txt}Root MSE          =    {res} .75016

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}wel_svi {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} 1.294687{col 33}{space 2}  .746515{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4} -.177593{col 74}{space 3} 2.766967
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .041978{col 33}{space 2} .0324258{col 44}{space 1}    1.29{col 53}{space 3}0.197{col 61}{space 4}-.0219723{col 74}{space 3} .1059282
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0449221{col 33}{space 2} .0109634{col 44}{space 1}    4.10{col 53}{space 3}0.000{col 61}{space 4}    .0233{col 74}{space 3} .0665441
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3540157{col 33}{space 2} .0429809{col 44}{space 1}   -8.24{col 53}{space 3}0.000{col 61}{space 4}-.4387829{col 74}{space 3}-.2692485
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .4467205{col 33}{space 2}  .056282{col 44}{space 1}    7.94{col 53}{space 3}0.000{col 61}{space 4} .3357209{col 74}{space 3} .5577201
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9486602{col 33}{space 2} .2577907{col 44}{space 1}    3.68{col 53}{space 3}0.000{col 61}{space 4} .4402442{col 74}{space 3} 1.457076
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.8292678{col 33}{space 2}   .14196{col 44}{space 1}   -5.84{col 53}{space 3}0.000{col 61}{space 4}-1.109242{col 74}{space 3}-.5492938
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0249344{col 33}{space 2}  .005475{col 44}{space 1}    4.55{col 53}{space 3}0.000{col 61}{space 4} .0141366{col 74}{space 3} .0357323
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2392429{col 33}{space 2} .2138905{col 44}{space 1}   -1.12{col 53}{space 3}0.265{col 61}{space 4}-.6610787{col 74}{space 3} .1825928
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1650795{col 33}{space 2} .2204029{col 44}{space 1}    0.75{col 53}{space 3}0.455{col 61}{space 4}-.2696001{col 74}{space 3}  .599759
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.3103819{col 33}{space 2} .1597878{col 44}{space 1}   -1.94{col 53}{space 3}0.054{col 61}{space 4} -.625516{col 74}{space 3} .0047521
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.360839{col 33}{space 2}  .898237{col 44}{space 1}    1.52{col 53}{space 3}0.131{col 61}{space 4}-.4106677{col 74}{space 3} 3.132346
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table24RR ,  append word se label
. 
.                 reg theta_mean   l.wel_svi  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}       207
                                                {txt}F(11, 195)        =  {res}    75.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7599
                                                {txt}Root MSE          =    {res} .75182

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}wel_svi {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} 1.333406{col 33}{space 2} .7516905{col 44}{space 1}    1.77{col 53}{space 3}0.078{col 61}{space 4}-.1490809{col 74}{space 3} 2.815893
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1863369{col 33}{space 2} .1971629{col 44}{space 1}    0.95{col 53}{space 3}0.346{col 61}{space 4}-.2025086{col 74}{space 3} .5751824
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0446526{col 33}{space 2} .0109204{col 44}{space 1}    4.09{col 53}{space 3}0.000{col 61}{space 4} .0231154{col 74}{space 3} .0661897
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.3551263{col 33}{space 2} .0430111{col 44}{space 1}   -8.26{col 53}{space 3}0.000{col 61}{space 4}-.4399529{col 74}{space 3}-.2702996
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .4509717{col 33}{space 2} .0565514{col 44}{space 1}    7.97{col 53}{space 3}0.000{col 61}{space 4} .3394409{col 74}{space 3} .5625025
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9789111{col 33}{space 2} .2567026{col 44}{space 1}    3.81{col 53}{space 3}0.000{col 61}{space 4} .4726411{col 74}{space 3} 1.485181
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.8329025{col 33}{space 2} .1426925{col 44}{space 1}   -5.84{col 53}{space 3}0.000{col 61}{space 4}-1.114321{col 74}{space 3}-.5514838
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0252921{col 33}{space 2} .0054836{col 44}{space 1}    4.61{col 53}{space 3}0.000{col 61}{space 4} .0144774{col 74}{space 3} .0361068
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2698205{col 33}{space 2} .2131891{col 44}{space 1}   -1.27{col 53}{space 3}0.207{col 61}{space 4}-.6902729{col 74}{space 3} .1506319
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .153776{col 33}{space 2} .2212012{col 44}{space 1}    0.70{col 53}{space 3}0.488{col 61}{space 4}-.2824779{col 74}{space 3}   .59003
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.2974076{col 33}{space 2}  .161526{col 44}{space 1}   -1.84{col 53}{space 3}0.067{col 61}{space 4}-.6159697{col 74}{space 3} .0211545
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 1.421909{col 33}{space 2}  .891744{col 44}{space 1}    1.59{col 53}{space 3}0.112{col 61}{space 4}-.3367927{col 74}{space 3}  3.18061
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 **outreg2 using Table24RR ,  append word se label
. 
.                 list country_name year if e(sample)
{txt}
       {c TLC}{hline 26}{c -}{hline 6}{c TRC}
       {c |} {res}            country_name   year {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
   51. {c |} {res}United States of America   1996 {txt}{c |}
   55. {c |} {res}United States of America   2000 {txt}{c |}
   62. {c |} {res}United States of America   2007 {txt}{c |}
   67. {c |} {res}United States of America   2012 {txt}{c |}
  187. {c |} {res}                  Canada   2001 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
  193. {c |} {res}                  Canada   2007 {txt}{c |}
  494. {c |} {res}      Dominican Republic   1997 {txt}{c |}
  660. {c |} {res}     Trinidad and Tobago   2007 {txt}{c |}
  665. {c |} {res}     Trinidad and Tobago   2012 {txt}{c |}
 1271. {c |} {res}                  Mexico   1997 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 1275. {c |} {res}                  Mexico   2001 {txt}{c |}
 1280. {c |} {res}                  Mexico   2006 {txt}{c |}
 1287. {c |} {res}                  Mexico   2013 {txt}{c |}
 1436. {c |} {res}               Guatemala   2006 {txt}{c |}
 1586. {c |} {res}             El Salvador   2000 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 1896. {c |} {res}                Colombia   1998 {txt}{c |}
 1897. {c |} {res}                Colombia   1999 {txt}{c |}
 1904. {c |} {res}                Colombia   2006 {txt}{c |}
 1911. {c |} {res}                Colombia   2013 {txt}{c |}
 1973. {c |} {res}               Venezuela   1997 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 1977. {c |} {res}               Venezuela   2001 {txt}{c |}
 2224. {c |} {res}                 Ecuador   2014 {txt}{c |}
 2285. {c |} {res}                    Peru   1997 {txt}{c |}
 2290. {c |} {res}                    Peru   2002 {txt}{c |}
 2297. {c |} {res}                    Peru   2009 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 2301. {c |} {res}                    Peru   2013 {txt}{c |}
 2364. {c |} {res}                  Brazil   1998 {txt}{c |}
 2373. {c |} {res}                  Brazil   2007 {txt}{c |}
 2381. {c |} {res}                  Brazil   2015 {txt}{c |}
 2597. {c |} {res}                   Chile   1997 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 2601. {c |} {res}                   Chile   2001 {txt}{c |}
 2606. {c |} {res}                   Chile   2006 {txt}{c |}
 2612. {c |} {res}                   Chile   2012 {txt}{c |}
 2674. {c |} {res}               Argentina   1996 {txt}{c |}
 2678. {c |} {res}               Argentina   2000 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 2685. {c |} {res}               Argentina   2007 {txt}{c |}
 2692. {c |} {res}               Argentina   2014 {txt}{c |}
 2753. {c |} {res}                 Uruguay   1997 {txt}{c |}
 2763. {c |} {res}                 Uruguay   2007 {txt}{c |}
 2768. {c |} {res}                 Uruguay   2012 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 2834. {c |} {res}          United Kingdom   2000 {txt}{c |}
 2841. {c |} {res}          United Kingdom   2007 {txt}{c |}
 2912. {c |} {res}                 Ireland   2000 {txt}{c |}
 2990. {c |} {res}             Netherlands   2000 {txt}{c |}
 2997. {c |} {res}             Netherlands   2007 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 3003. {c |} {res}             Netherlands   2013 {txt}{c |}
 3068. {c |} {res}                 Belgium   2000 {txt}{c |}
 3146. {c |} {res}              Luxembourg   2000 {txt}{c |}
 3224. {c |} {res}                  France   2000 {txt}{c |}
 3231. {c |} {res}                  France   2007 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 3451. {c |} {res}             Switzerland   1997 {txt}{c |}
 3462. {c |} {res}             Switzerland   2008 {txt}{c |}
 3528. {c |} {res}                   Spain   1996 {txt}{c |}
 3532. {c |} {res}                   Spain   2000 {txt}{c |}
 3533. {c |} {res}                   Spain   2001 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 3540. {c |} {res}                   Spain   2008 {txt}{c |}
 3544. {c |} {res}                   Spain   2012 {txt}{c |}
 3686. {c |} {res}                Portugal   2000 {txt}{c |}
 3968. {c |} {res}                  Poland   1998 {txt}{c |}
 3970. {c |} {res}                  Poland   2000 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 3976. {c |} {res}                  Poland   2006 {txt}{c |}
 3983. {c |} {res}                  Poland   2013 {txt}{c |}
 4048. {c |} {res}                 Austria   2000 {txt}{c |}
 4125. {c |} {res}                 Hungary   1999 {txt}{c |}
 4126. {c |} {res}                 Hungary   2000 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 4279. {c |} {res}          Czech Republic   1999 {txt}{c |}
 4280. {c |} {res}          Czech Republic   2000 {txt}{c |}
 4357. {c |} {res}                Slovakia   1999 {txt}{c |}
 4358. {c |} {res}                Slovakia   2000 {txt}{c |}
 4436. {c |} {res}                   Italy   2000 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 4442. {c |} {res}                   Italy   2006 {txt}{c |}
 4693. {c |} {res}                 Albania   1999 {txt}{c |}
 4697. {c |} {res}                 Albania   2003 {txt}{c |}
 4862. {c |} {res}         North Macedonia   1999 {txt}{c |}
 4865. {c |} {res}         North Macedonia   2002 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 4938. {c |} {res}                 Croatia   1997 {txt}{c |}
 4941. {c |} {res}                 Croatia   2000 {txt}{c |}
 5238. {c |} {res}                Slovenia   1996 {txt}{c |}
 5242. {c |} {res}                Slovenia   2000 {txt}{c |}
 5248. {c |} {res}                Slovenia   2006 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 5254. {c |} {res}                Slovenia   2012 {txt}{c |}
 5320. {c |} {res}                  Greece   2000 {txt}{c |}
 5405. {c |} {res}                  Cyprus   2007 {txt}{c |}
 5410. {c |} {res}                  Cyprus   2012 {txt}{c |}
 5474. {c |} {res}                Bulgaria   1998 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 5476. {c |} {res}                Bulgaria   2000 {txt}{c |}
 5483. {c |} {res}                Bulgaria   2007 {txt}{c |}
 5551. {c |} {res}                 Moldova   1997 {txt}{c |}
 5557. {c |} {res}                 Moldova   2003 {txt}{c |}
 5561. {c |} {res}                 Moldova   2007 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 5626. {c |} {res}                 Romania   1994 {txt}{c |}
 5631. {c |} {res}                 Romania   1999 {txt}{c |}
 5632. {c |} {res}                 Romania   2000 {txt}{c |}
 5638. {c |} {res}                 Romania   2006 {txt}{c |}
 5645. {c |} {res}                 Romania   2013 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 5752. {c |} {res}                  Russia   1996 {txt}{c |}
 5756. {c |} {res}                  Russia   2000 {txt}{c |}
 5763. {c |} {res}                  Russia   2007 {txt}{c |}
 5768. {c |} {res}                  Russia   2012 {txt}{c |}
 5830. {c |} {res}                 Estonia   1997 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 5833. {c |} {res}                 Estonia   2000 {txt}{c |}
 5845. {c |} {res}                 Estonia   2012 {txt}{c |}
 5908. {c |} {res}                  Latvia   1997 {txt}{c |}
 5911. {c |} {res}                  Latvia   2000 {txt}{c |}
 5987. {c |} {res}               Lithuania   1998 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 5989. {c |} {res}               Lithuania   2000 {txt}{c |}
 6064. {c |} {res}                 Ukraine   1997 {txt}{c |}
 6067. {c |} {res}                 Ukraine   2000 {txt}{c |}
 6074. {c |} {res}                 Ukraine   2007 {txt}{c |}
 6079. {c |} {res}                 Ukraine   2012 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 6142. {c |} {res}                 Belarus   1997 {txt}{c |}
 6146. {c |} {res}                 Belarus   2001 {txt}{c |}
 6157. {c |} {res}                 Belarus   2012 {txt}{c |}
 6220. {c |} {res}                 Armenia   1998 {txt}{c |}
 6234. {c |} {res}                 Armenia   2012 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 6297. {c |} {res}                 Georgia   1997 {txt}{c |}
 6376. {c |} {res}              Azerbaijan   1998 {txt}{c |}
 6390. {c |} {res}              Azerbaijan   2012 {txt}{c |}
 6453. {c |} {res}                 Finland   1997 {txt}{c |}
 6457. {c |} {res}                 Finland   2001 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 6462. {c |} {res}                 Finland   2006 {txt}{c |}
 6531. {c |} {res}                  Sweden   1997 {txt}{c |}
 6534. {c |} {res}                  Sweden   2000 {txt}{c |}
 6541. {c |} {res}                  Sweden   2007 {txt}{c |}
 6546. {c |} {res}                  Sweden   2012 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 6609. {c |} {res}                  Norway   1997 {txt}{c |}
 6621. {c |} {res}                  Norway   2009 {txt}{c |}
 6690. {c |} {res}                 Denmark   2000 {txt}{c |}
 7244. {c |} {res}                    Mali   2008 {txt}{c |}
 7790. {c |} {res}            Burkina Faso   2008 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 8024. {c |} {res}                   Ghana   2008 {txt}{c |}
 8029. {c |} {res}                   Ghana   2013 {txt}{c |}
 8251. {c |} {res}                 Nigeria   2001 {txt}{c |}
 8262. {c |} {res}                 Nigeria   2012 {txt}{c |}
 8720. {c |} {res}                  Uganda   2002 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 8876. {c |} {res}                Tanzania   2002 {txt}{c |}
 9114. {c |} {res}                  Rwanda   2008 {txt}{c |}
 9119. {c |} {res}                  Rwanda   2013 {txt}{c |}
 9698. {c |} {res}                  Zambia   2008 {txt}{c |}
 9770. {c |} {res}                Zimbabwe   2002 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
 9781. {c |} {res}                Zimbabwe   2013 {txt}{c |}
 9921. {c |} {res}            South Africa   1997 {txt}{c |}
 9926. {c |} {res}            South Africa   2002 {txt}{c |}
 9932. {c |} {res}            South Africa   2008 {txt}{c |}
 9938. {c |} {res}            South Africa   2014 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
10628. {c |} {res}                 Morocco   2002 {txt}{c |}
10634. {c |} {res}                 Morocco   2008 {txt}{c |}
10638. {c |} {res}                 Morocco   2012 {txt}{c |}
10707. {c |} {res}                 Algeria   2003 {txt}{c |}
10718. {c |} {res}                 Algeria   2014 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
10796. {c |} {res}                 Tunisia   2014 {txt}{c |}
10875. {c |} {res}                   Libya   2015 {txt}{c |}
11095. {c |} {res}                    Iran   2001 {txt}{c |}
11102. {c |} {res}                    Iran   2008 {txt}{c |}
11169. {c |} {res}                  Turkey   1997 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
11174. {c |} {res}                  Turkey   2002 {txt}{c |}
11180. {c |} {res}                  Turkey   2008 {txt}{c |}
11184. {c |} {res}                  Turkey   2012 {txt}{c |}
11263. {c |} {res}                    Iraq   2013 {txt}{c |}
11329. {c |} {res}                   Egypt   2001 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
11337. {c |} {res}                   Egypt   2009 {txt}{c |}
11498. {c |} {res}                 Lebanon   2014 {txt}{c |}
11570. {c |} {res}                  Jordan   2008 {txt}{c |}
11577. {c |} {res}                  Jordan   2015 {txt}{c |}
11722. {c |} {res}            Saudi Arabia   2004 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
11863. {c |} {res}                   Yemen   2015 {txt}{c |}
12017. {c |} {res}                  Kuwait   2015 {txt}{c |}
12095. {c |} {res}                 Bahrain   2015 {txt}{c |}
12169. {c |} {res}                   Qatar   2011 {txt}{c |}
12628. {c |} {res}              Kyrgyzstan   2004 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
12636. {c |} {res}              Kyrgyzstan   2012 {txt}{c |}
12714. {c |} {res}              Uzbekistan   2012 {txt}{c |}
12792. {c |} {res}              Kazakhstan   2012 {txt}{c |}
12860. {c |} {res}                   China   2002 {txt}{c |}
12866. {c |} {res}                   China   2008 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
12871. {c |} {res}                   China   2013 {txt}{c |}
13167. {c |} {res}             South Korea   1997 {txt}{c |}
13172. {c |} {res}             South Korea   2002 {txt}{c |}
13176. {c |} {res}             South Korea   2006 {txt}{c |}
13181. {c |} {res}             South Korea   2011 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
13244. {c |} {res}                   Japan   1996 {txt}{c |}
13249. {c |} {res}                   Japan   2001 {txt}{c |}
13254. {c |} {res}                   Japan   2006 {txt}{c |}
13259. {c |} {res}                   Japan   2011 {txt}{c |}
13322. {c |} {res}                   India   1996 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
13328. {c |} {res}                   India   2002 {txt}{c |}
13333. {c |} {res}                   India   2007 {txt}{c |}
13341. {c |} {res}                   India   2015 {txt}{c |}
13521. {c |} {res}                Pakistan   2013 {txt}{c |}
13583. {c |} {res}              Bangladesh   1997 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
13589. {c |} {res}              Bangladesh   2003 {txt}{c |}
13984. {c |} {res}                Thailand   2008 {txt}{c |}
14396. {c |} {res}                Malaysia   2007 {txt}{c |}
14402. {c |} {res}                Malaysia   2013 {txt}{c |}
14470. {c |} {res}               Singapore   2003 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
14480. {c |} {res}               Singapore   2013 {txt}{c |}
14620. {c |} {res}             Philippines   1997 {txt}{c |}
14625. {c |} {res}             Philippines   2002 {txt}{c |}
14636. {c |} {res}             Philippines   2013 {txt}{c |}
14703. {c |} {res}               Indonesia   2002 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
14708. {c |} {res}               Indonesia   2007 {txt}{c |}
14853. {c |} {res}               Australia   1996 {txt}{c |}
14863. {c |} {res}               Australia   2006 {txt}{c |}
14870. {c |} {res}               Australia   2013 {txt}{c |}
15012. {c |} {res}             New Zealand   1999 {txt}{c |}
       {c LT}{hline 26}{c -}{hline 6}{c RT}
15018. {c |} {res}             New Zealand   2005 {txt}{c |}
15025. {c |} {res}             New Zealand   2012 {txt}{c |}
       {c BLC}{hline 26}{c -}{hline 6}{c BRC}

{com}. 
.                 *Tables 18 and 19 - Causal Mediation Model with Secular Values Index 
.                 mediate (theta_mean  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg liarda_chcatpct  liarda_isgenpct GEO7) (lwel_svi  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai1, continuous ( 4 3)) , vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 4.132e-30}  
Iteration 1:{space 2}EE criterion = {res: 2.359e-31}  
{res}
{txt}{col 1}Causal mediation analysis{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:207}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lwel_svi
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:3}}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}            theta_mean{col 24}{c |} Coefficient{col 36}  std. err.{col 48}      z{col 56}   P>|z|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                    {txt}{c |}
{space 13}lcai_cai1 {c |}
{space 13}(1 vs 0)  {c |}{col 24}{res}{space 2}-.0070964{col 36}{space 2}  .009274{col 47}{space 1}   -0.77{col 56}{space 3}0.444{col 64}{space 4}-.0252731{col 77}{space 3} .0110804
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                    {txt}{c |}
{space 13}lcai_cai1 {c |}
{space 13}(1 vs 0)  {c |}{col 24}{res}{space 2}-.0461172{col 36}{space 2} .0314041{col 47}{space 1}   -1.47{col 56}{space 3}0.142{col 64}{space 4}-.1076682{col 77}{space 3} .0154338
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                     {txt}{c |}
{space 13}lcai_cai1 {c |}
{space 13}(1 vs 0)  {c |}{col 24}{res}{space 2}-.0532136{col 36}{space 2} .0318584{col 47}{space 1}   -1.67{col 56}{space 3}0.095{col 64}{space 4}-.1156548{col 77}{space 3} .0092277
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                 **outreg2 using Table25RR ,  replace word se label excel
.                 estat proportion
{res}
{txt}{col 1}Proportion mediated{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:207}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai1 ={res:{ralign 2:4}} (control)
{col 3}1: {col 6}lcai_cai1 ={res:{ralign 2:3}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai1 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .1333564{col 26}{space 2}  .177042{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.2136397{col 67}{space 3} .4803524
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
.                 mediate (theta_mean  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg liarda_chcatpct  liarda_isgenpct GEO7) (lwel_svi  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation  lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 ) (lcai_cai2, continuous ( 0.481 0)) , vce(robust)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 5.483e-30}  
Iteration 1:{space 2}EE criterion = {res: 1.625e-31}  
{res}
{txt}{col 1}Causal mediation analysis{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:207}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}lwel_svi
{txt}Treatment type:{col 20}Continuous

{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 5:.481}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 5:0}}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}            theta_mean{col 24}{c |} Coefficient{col 36}  std. err.{col 48}      z{col 56}   P>|z|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                    {txt}{c |}
{space 13}lcai_cai2 {c |}
{space 13}(1 vs 0)  {c |}{col 24}{res}{space 2}-.0092017{col 36}{space 2} .0382101{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4}-.0840921{col 77}{space 3} .0656887
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                    {txt}{c |}
{space 13}lcai_cai2 {c |}
{space 13}(1 vs 0)  {c |}{col 24}{res}{space 2}-.1012374{col 36}{space 2} .0906839{col 47}{space 1}   -1.12{col 56}{space 3}0.264{col 64}{space 4}-.2789746{col 77}{space 3} .0764997
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                     {txt}{c |}
{space 13}lcai_cai2 {c |}
{space 13}(1 vs 0)  {c |}{col 24}{res}{space 2}-.1104391{col 36}{space 2} .0948089{col 47}{space 1}   -1.16{col 56}{space 3}0.244{col 64}{space 4}-.2962611{col 77}{space 3} .0753828
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}.                 **outreg2 using Table25RR ,  append  word se label excel
.                 estat proportion
{res}
{txt}{col 1}Proportion mediated{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:207}

{txt}{col 1}Continuous treatment levels:
{res}{txt}{col 3}0: {col 6}lcai_cai2 ={res:{ralign 5:.481}} (control)
{col 3}1: {col 6}lcai_cai2 ={res:{ralign 5:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  theta_mean{col 14}{c |} Proportion{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}lcai_cai2 {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0833192{col 26}{space 2} .3310888{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4} -.565603{col 67}{space 3} .7322414
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.                 *Figure 1: Nicaragua
. 
.                 use ReplicationDataset.dta, replace 
{txt}
{com}. tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
.                 foreach var of varlist theta_mean cai_cai1 cai_cai2 v2clsocgrp Pct_GBGR_Score_{c -(}
{txt}  2{com}.                          capture noisily  bysort year: egen yrmean`var' = mean(`var')
{txt}  3{com}.                 {c )-}
{txt}(768 missing values generated)
(10,916 missing values generated)
(10,916 missing values generated)
(364 missing values generated)
(15,048 missing values generated)

{com}. 
.                 line theta_mean yrmeantheta_mean year if ccode==93 & year>1989, xlabel(1990(5)2020) ylabel(-3.5(1)5.5) legend(label(1 "Nicaragua") label(2 "World Mean")) title("Human Rights Protection Score")
{res}{txt}
{com}.                         *graph save Theta_MeanNicaragua, replace
.                         *graph export  Theta_MeanNicaragua.jpg, replace 
.                 line cai_cai1 yrmeancai_cai1 year if ccode==93 & year>1989, xlabel(1990(5)2020) ylabel(0(1)7) legend(label(1 "Nicaragua") label(2 "World Mean")) title("Comparative Abortion Index 1, (0 to 7)")
{res}{txt}
{com}.                         *graph save cai1Nicaragua, replace
.                         *graph export  cai1Nicaragua.jpg, replace 
.                 line cai_cai2 yrmeancai_cai2 year if ccode==93 & year>1989, xlabel(1990(5)2020) ylabel(0(.1)1) legend(label(1 "Nicaragua") label(2 "World Mean")) title("Comparative Abortion Index 2, (0 to 1)")
{res}{txt}
{com}.                         *graph save cai2Nicaragua, replace
.                         *graph export  cai2Nicaragua.jpg, replace 
.                 line v2clsocgrp yrmeanv2clsocgrp year if ccode==93 & year>1989, xlabel(1990(5)2020) ylabel(-3.1(.5)3.6) legend(label(1 "Nicaragua") label(2 "World Mean")) title("Social Group Equality in Respect for Civil Liberties")
{res}{txt}
{com}.                         *graph save socialgroupNicaragua, replace
.                         *graph export  socialgroupNicaragua.jpg, replace 
.                 line Pct_GBGR_Score_ yrmeanPct_GBGR_Score_ year if ccode==93 & year>2010 & year<2015, xlabel(2011(1)2014) ylabel(0(10)100) legend(label(1 "Nicaragua") label(2 "World Mean")) title("Gay Rights Barometer")
{res}{txt}
{com}.                         *graph save gayNicaragua, replace
.                         *graph export  gayNicaragua.jpg, replace 
.                 *graph combine cai1Nicaragua.gph cai2Nicaragua.gph, scale(.8)
.                 *graph save caiNicaragua.gph, replace
.                 *graph export caiNicaragua.jpg, replace
.                 *graph combine Theta_MeanNicaragua.gph socialgroupNicaragua.gph gayNicaragua.gph , scale(.6)
.                 *graph save rightsNicaragua.gph, replace
.                 *graph export rightsNicaragua.jpg, replace      
. 
.                 *Poland
.                 line theta_mean yrmeantheta_mean year if ccode==290 & year>1989, xlabel(1990(5)2020) ylabel(-3.5(1)5.5) legend(label(1 "Poland") label(2 "World Mean")) title("Human Rights Protection Score")
{res}{txt}
{com}.                         *graph save Theta_MeanPoland, replace
.                         *graph export  Theta_MeanPoland.jpg, replace 
.                 line cai_cai1 yrmeancai_cai1 year if ccode==290 & year>1989, xlabel(1990(5)2020) ylabel(0(1)7) legend(label(1 "Poland") label(2 "World Mean")) title("Comparative Abortion Index 1, (0 to 7)")
{res}{txt}
{com}.                         *graph save cai1Poland, replace
.                         *graph export  cai1Poland.jpg, replace 
.                 line cai_cai2 yrmeancai_cai2 year if ccode==290 & year>1989, xlabel(1990(5)2020) ylabel(0(.1)1) legend(label(1 "Poland") label(2 "World Mean")) title("Comparative Abortion Index 2, (0 to 1)")
{res}{txt}
{com}.                         *graph save cai2Poland, replace
.                         *graph export  cai2Poland.jpg, replace 
.                 line v2clsocgrp yrmeanv2clsocgrp year if ccode==290 & year>1989, xlabel(1990(5)2020) ylabel(-3.1(.5)3.6) legend(label(1 "Poland") label(2 "World Mean")) title("Social Group Equality in Respect for Civil Liberties")
{res}{txt}
{com}.                         *graph save socialgroupPoland, replace
.                         *graph export  socialgroupPoland.jpg, replace 
.                 line Pct_GBGR_Score_ yrmeanPct_GBGR_Score_ year if ccode==290 & year>2010 & year<2015, xlabel(2011(1)2014) ylabel(0(10)100) legend(label(1 "Poland") label(2 "World Mean")) title("Gay Rights Barometer")
{res}{txt}
{com}.                         *graph save gayPoland, replace
.                         *graph export  gayPoland.jpg, replace 
.                 *graph combine cai1Poland.gph cai2Poland.gph, scale(.8)
.                 *graph save caiPoland.gph, replace
.                 *graph export caiPoland.jpg, replace
.                 *graph combine Theta_MeanPoland.gph socialgroupPoland.gph gayPoland.gph , scale(.6)
.                 *graph save rightsPoland.gph, replace
.                 *graph export rightsPoland.jpg, replace 
.                 
. *Additional Robustness Tests found in the document on Dataverse
. use ReplicationDataset.dta, replace
{txt}
{com}. tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. *Table 1:
. *****Summary statistics 
. reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13920.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9606398{col 33}{space 2} .0061989{col 44}{space 1}  154.97{col 53}{space 3}0.000{col 61}{space 4} .9484859{col 74}{space 3} .9727937
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053635{col 33}{space 2} .0020336{col 44}{space 1}    2.64{col 53}{space 3}0.008{col 61}{space 4} .0013763{col 74}{space 3} .0093507
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025538{col 33}{space 2} .0009026{col 44}{space 1}    2.83{col 53}{space 3}0.005{col 61}{space 4} .0007842{col 74}{space 3} .0043234
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172091{col 33}{space 2} .0036679{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.0244006{col 74}{space 3}-.0100175
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118092{col 33}{space 2} .0039687{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .0040279{col 74}{space 3} .0195906
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210986{col 33}{space 2} .0215925{col 44}{space 1}   -0.98{col 53}{space 3}0.329{col 61}{space 4}-.0634341{col 74}{space 3}  .021237
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126956{col 33}{space 2} .0162556{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0191761{col 74}{space 3} .0445672
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001055{col 33}{space 2} .0005648{col 44}{space 1}    0.19{col 53}{space 3}0.852{col 61}{space 4}-.0010019{col 74}{space 3} .0012128
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180201{col 33}{space 2}  .011623{col 44}{space 1}    1.55{col 53}{space 3}0.121{col 61}{space 4}-.0047686{col 74}{space 3} .0408088
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017057{col 33}{space 2} .0182177{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0527758{col 74}{space 3} .0186617
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0285127{col 33}{space 2} .0122771{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4} -.052584{col 74}{space 3}-.0044413
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1877647{col 33}{space 2} .0576697{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4}  .074694{col 74}{space 3} .3008354
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. sum theta_mean   lv2clsocgrp lcai_cai1   lcai_cai2  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7 if e(sample)

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}theta_mean {c |}{res}      3,413    .4692143    1.386657  -2.498335   5.336182
{txt}{space 1}lv2clsocgrp {c |}{res}      3,413    1.020093    1.131598     -2.054      3.511
{txt}{space 3}lcai_cai1 {c |}{res}      3,413    4.010841    2.492933          0          7
{txt}{space 3}lcai_cai2 {c |}{res}      3,413    .4807181    .4083669          0          1
{txt}{space 4}lpolity2 {c |}{res}      3,413    3.999414    6.208473        -10         10
{txt}{hline 13}{c +}{hline 57}
{space 2}llnwdi_pop {c |}{res}      3,413    16.10518    1.535843   12.70686   21.03897
{txt}llnwdi_~2010 {c |}{res}      3,413    8.367699    1.503154     5.1952   11.62598
{txt}lintllocat~n {c |}{res}      3,413    .0105479    .1021749          0          1
{txt}lcivilloca~n {c |}{res}      3,413    .1453267    .3524816          0          1
{txt}{space 1}lv2lgfemleg {c |}{res}      3,413    14.91077    10.67224          0      63.75
{txt}{hline 13}{c +}{hline 57}
liarda_chc~t {c |}{res}      3,413    .2933564    .3223707          0       .972
{txt}liarda_isg~t {c |}{res}      3,413    .2439208    .3525822          0          1
{txt}{space 8}GEO7 {c |}{res}      3,413    .1013771    .3018716          0          1
{txt}
{com}. *Tables 2-5: Correlations for CAI and women's variables
. *General QoG and V-Dem Indicators
. mkcorr cai_cai1 cai_cai2  wecon wosoc wopol wdi_wip wdi_wombuslawi WBL_index  v2csgender v2pepwrgen v2clgencl v2peapsgen v2peasjgen v2xpe_exlgender v2x_gender, log(pw1RR) lab replace
{txt}{p 0 4 2}
(file {bf}
pw1RR.log{rm}
not found)
{p_end}

{com}. *WBL
. mkcorr cai_cai1 cai_cai2  WBL_index GR1_mobility GR2_workplace GR3_pay GR4_marriage GR5_parenthood GR6_entrprnshp GR7_assets GR8_pension gr1_1passpmrd gr1_2trvlctrymrd gr1_3trvlhmmrd gr1_4whlivemrd gr2_5profhmmrd gr2_6nondiscempl gr2_7sexhrssemp gr2_8sexcomb gr3_9eqremunval gr3_10nprgeqnight gr3_11jobshazard gr3_12industry gr4_13obeymrd gr4_14hhmrd gr4_15domleg gr4_16dvrcjdgmnt gr4_17equalremarr gr5_18wpdleave14 gr5_19govleaveprov gr5_20patleave gr5_21paidprntl gr5_22pregdism gr6_23cntrcthmmrd gr6_24regbusmrd gr6_25bnkaccmrd gr6_26disgend gr7_27prtyeqownmrdbth gr7_28prtyeqsondght gr7_29prtyeqsuvrspse gr7_30prtylegadmin gr7_31valnonmntry gr8_32retagequal gr8_33penagequal gr8_34mandagequal gr8_35carecredit mtrnity_days ptrnity_days prntal_shrd prntal_mom, log(pw2RR) lab replace
{txt}{p 0 4 2}
(file {bf}
pw2RR.log{rm}
not found)
{p_end}

{com}. *SIGI
. mkcorr cai_cai1 cai_cai2 SIGI SIGIDF SIGIRPI SIGIAPFA SIGIRCL, log(pw3RR) lab replace 
{txt}{p 0 4 2}
(file {bf}
pw3RR.log{rm}
not found)
{p_end}

{com}. *correlation with the variables in our models (not pairwise)
. mkcorr theta_mean   v2clsocgrp  cai_cai1   polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct GEO7, log(pw4RR) lab replace casewise
{txt}{p 0 4 2}
(file {bf}
pw4RR.log{rm}
not found)
{p_end}

{com}. 
. *Tables 6-8:Examining those that backslide 
. browse cname year if  BackwardsAbortioncai1==1
{txt}
{com}. browse cname year if  BackwardsAbortioncai2==1
{txt}
{com}. browse cname year if  Largerthanorequal2dropcai1 ==1
{txt}
{com}. browse cname year if  Largerthan2SDdropcai2  ==1
{txt}
{com}. 
. browse cname year lcai_cai1 cai_cai1 lcai_cai2 cai_cai2 Dcai_cai1  Backwardsc* if BackwardsAbortioncai2==1
{txt}
{com}. 
. 
. *Robustness models: 
. **Table 9: Different Dependent Variables
. *physint 
. tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. reg physint  l.physint  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,358
                                                {txt}F(11, 3346)       =  {res}  1177.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7642
                                                {txt}Root MSE          =    {res} 1.0537

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            physint{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}physint {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6601311{col 33}{space 2} .0142517{col 44}{space 1}   46.32{col 53}{space 3}0.000{col 61}{space 4} .6321882{col 74}{space 3}  .688074
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0255363{col 33}{space 2} .0098076{col 44}{space 1}    2.60{col 53}{space 3}0.009{col 61}{space 4} .0063068{col 74}{space 3} .0447658
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0357349{col 33}{space 2} .0040431{col 44}{space 1}    8.84{col 53}{space 3}0.000{col 61}{space 4} .0278077{col 74}{space 3} .0436622
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.181029{col 33}{space 2} .0148146{col 44}{space 1}  -12.22{col 53}{space 3}0.000{col 61}{space 4}-.2100756{col 74}{space 3}-.1519823
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1219926{col 33}{space 2} .0160357{col 44}{space 1}    7.61{col 53}{space 3}0.000{col 61}{space 4} .0905518{col 74}{space 3} .1534334
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.270145{col 33}{space 2} .1669017{col 44}{space 1}   -1.62{col 53}{space 3}0.106{col 61}{space 4}-.5973847{col 74}{space 3} .0570947
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.5226873{col 33}{space 2} .0734365{col 44}{space 1}   -7.12{col 53}{space 3}0.000{col 61}{space 4}-.6666722{col 74}{space 3}-.3787023
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0019147{col 33}{space 2} .0017691{col 44}{space 1}    1.08{col 53}{space 3}0.279{col 61}{space 4} -.001554{col 74}{space 3} .0053834
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.064746{col 33}{space 2} .0650302{col 44}{space 1}   -1.00{col 53}{space 3}0.320{col 61}{space 4}-.1922491{col 74}{space 3}  .062757
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0326146{col 33}{space 2}  .074275{col 44}{space 1}   -0.44{col 53}{space 3}0.661{col 61}{space 4}-.1782435{col 74}{space 3} .1130144
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.1244646{col 33}{space 2} .0679205{col 44}{space 1}   -1.83{col 53}{space 3}0.067{col 61}{space 4}-.2576346{col 74}{space 3} .0087054
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 3.398109{col 33}{space 2} .2748385{col 44}{space 1}   12.36{col 53}{space 3}0.000{col 61}{space 4}  2.85924{col 74}{space 3} 3.936977
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table3RR , replace  word se label
. reg physint  l.physint   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,358
                                                {txt}F(11, 3346)       =  {res}  1177.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7643
                                                {txt}Root MSE          =    {res} 1.0535

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            physint{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}physint {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6594949{col 33}{space 2} .0142532{col 44}{space 1}   46.27{col 53}{space 3}0.000{col 61}{space 4}  .631549{col 74}{space 3} .6874407
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1782368{col 33}{space 2} .0597096{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4} .0611658{col 74}{space 3} .2953077
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0355842{col 33}{space 2}  .004043{col 44}{space 1}    8.80{col 53}{space 3}0.000{col 61}{space 4} .0276573{col 74}{space 3} .0435112
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1820494{col 33}{space 2} .0148385{col 44}{space 1}  -12.27{col 53}{space 3}0.000{col 61}{space 4}-.2111428{col 74}{space 3} -.152956
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .1199055{col 33}{space 2} .0160848{col 44}{space 1}    7.45{col 53}{space 3}0.000{col 61}{space 4} .0883683{col 74}{space 3} .1514426
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.2686768{col 33}{space 2} .1668443{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.5958041{col 74}{space 3} .0584504
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.5215443{col 33}{space 2} .0734057{col 44}{space 1}   -7.10{col 53}{space 3}0.000{col 61}{space 4}-.6654689{col 74}{space 3}-.3776197
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0018552{col 33}{space 2} .0017688{col 44}{space 1}    1.05{col 53}{space 3}0.294{col 61}{space 4}-.0016129{col 74}{space 3} .0053232
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0593445{col 33}{space 2} .0647457{col 44}{space 1}   -0.92{col 53}{space 3}0.359{col 61}{space 4}-.1862896{col 74}{space 3} .0676007
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.028021{col 33}{space 2} .0743412{col 44}{space 1}   -0.38{col 53}{space 3}0.706{col 61}{space 4}-.1737799{col 74}{space 3} .1177379
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.1437899{col 33}{space 2} .0691076{col 44}{space 1}   -2.08{col 53}{space 3}0.038{col 61}{space 4}-.2792872{col 74}{space 3}-.0082925
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  3.45246{col 33}{space 2} .2781847{col 44}{space 1}   12.41{col 53}{space 3}0.000{col 61}{space 4} 2.907031{col 74}{space 3}  3.99789
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table3RR ,  append word se label
. *gd_ptsa 
. reg gd_ptsa  l.gd_ptsa   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,637
                                                {txt}F(11, 2625)       =  {res}   633.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6930
                                                {txt}Root MSE          =    {res} .59472

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            gd_ptsa{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}gd_ptsa {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6471121{col 33}{space 2} .0160496{col 44}{space 1}   40.32{col 53}{space 3}0.000{col 61}{space 4}  .615641{col 74}{space 3} .6785833
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0156071{col 33}{space 2} .0064366{col 44}{space 1}   -2.42{col 53}{space 3}0.015{col 61}{space 4}-.0282285{col 74}{space 3}-.0029857
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0139614{col 33}{space 2} .0023488{col 44}{space 1}   -5.94{col 53}{space 3}0.000{col 61}{space 4} -.018567{col 74}{space 3}-.0093557
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0754372{col 33}{space 2} .0088745{col 44}{space 1}    8.50{col 53}{space 3}0.000{col 61}{space 4} .0580355{col 74}{space 3} .0928389
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.058094{col 33}{space 2} .0099176{col 44}{space 1}   -5.86{col 53}{space 3}0.000{col 61}{space 4}-.0775412{col 74}{space 3}-.0386469
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1310748{col 33}{space 2} .1015148{col 44}{space 1}   -1.29{col 53}{space 3}0.197{col 61}{space 4}-.3301319{col 74}{space 3} .0679824
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .294362{col 33}{space 2} .0397883{col 44}{space 1}    7.40{col 53}{space 3}0.000{col 61}{space 4} .2163425{col 74}{space 3} .3723816
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0031373{col 33}{space 2} .0011572{col 44}{space 1}   -2.71{col 53}{space 3}0.007{col 61}{space 4}-.0054064{col 74}{space 3}-.0008682
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0137856{col 33}{space 2} .0457979{col 44}{space 1}   -0.30{col 53}{space 3}0.763{col 61}{space 4}-.1035893{col 74}{space 3}  .076018
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0100571{col 33}{space 2} .0449416{col 44}{space 1}   -0.22{col 53}{space 3}0.823{col 61}{space 4}-.0981816{col 74}{space 3} .0780674
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0513866{col 33}{space 2} .0424781{col 44}{space 1}   -1.21{col 53}{space 3}0.226{col 61}{space 4}-.1346805{col 74}{space 3} .0319073
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2793416{col 33}{space 2} .1580624{col 44}{space 1}    1.77{col 53}{space 3}0.077{col 61}{space 4}-.0305979{col 74}{space 3} .5892811
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table3RR ,  append  word se label
. reg gd_ptsa   l.gd_ptsa    l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,637
                                                {txt}F(11, 2625)       =  {res}   634.50
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6930
                                                {txt}Root MSE          =    {res} .59465

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            gd_ptsa{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}gd_ptsa {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6468381{col 33}{space 2}  .016042{col 44}{space 1}   40.32{col 53}{space 3}0.000{col 61}{space 4} .6153819{col 74}{space 3} .6782943
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1011876{col 33}{space 2} .0392568{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.1781649{col 74}{space 3}-.0242103
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0138785{col 33}{space 2} .0023498{col 44}{space 1}   -5.91{col 53}{space 3}0.000{col 61}{space 4}-.0184862{col 74}{space 3}-.0092708
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0757621{col 33}{space 2} .0088822{col 44}{space 1}    8.53{col 53}{space 3}0.000{col 61}{space 4} .0583453{col 74}{space 3}  .093179
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.057505{col 33}{space 2} .0099592{col 44}{space 1}   -5.77{col 53}{space 3}0.000{col 61}{space 4}-.0770337{col 74}{space 3}-.0379762
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1331106{col 33}{space 2} .1014748{col 44}{space 1}   -1.31{col 53}{space 3}0.190{col 61}{space 4}-.3320894{col 74}{space 3} .0658682
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .2936646{col 33}{space 2} .0397747{col 44}{space 1}    7.38{col 53}{space 3}0.000{col 61}{space 4} .2156716{col 74}{space 3} .3716576
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0031673{col 33}{space 2} .0011536{col 44}{space 1}   -2.75{col 53}{space 3}0.006{col 61}{space 4}-.0054294{col 74}{space 3}-.0009052
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0140836{col 33}{space 2} .0455244{col 44}{space 1}   -0.31{col 53}{space 3}0.757{col 61}{space 4} -.103351{col 74}{space 3} .0751839
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.011362{col 33}{space 2} .0449921{col 44}{space 1}   -0.25{col 53}{space 3}0.801{col 61}{space 4}-.0995856{col 74}{space 3} .0768616
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0441933{col 33}{space 2} .0431436{col 44}{space 1}   -1.02{col 53}{space 3}0.306{col 61}{space 4}-.1287921{col 74}{space 3} .0404056
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .255902{col 33}{space 2} .1590035{col 44}{space 1}    1.61{col 53}{space 3}0.108{col 61}{space 4}-.0558828{col 74}{space 3} .5676868
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table3RR ,  append word se label
. *gd_ptss 
. reg gd_ptss  l.gd_ptss   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,386
                                                {txt}F(11, 3374)       =  {res}  1336.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7709
                                                {txt}Root MSE          =    {res} .52071

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            gd_ptss{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}gd_ptss {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6924244{col 33}{space 2} .0135812{col 44}{space 1}   50.98{col 53}{space 3}0.000{col 61}{space 4} .6657962{col 74}{space 3} .7190527
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.015884{col 33}{space 2} .0049118{col 44}{space 1}   -3.23{col 53}{space 3}0.001{col 61}{space 4}-.0255144{col 74}{space 3}-.0062535
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.012593{col 33}{space 2} .0019197{col 44}{space 1}   -6.56{col 53}{space 3}0.000{col 61}{space 4}-.0163568{col 74}{space 3}-.0088291
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0710617{col 33}{space 2} .0070618{col 44}{space 1}   10.06{col 53}{space 3}0.000{col 61}{space 4} .0572159{col 74}{space 3} .0849076
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0697896{col 33}{space 2} .0079561{col 44}{space 1}   -8.77{col 53}{space 3}0.000{col 61}{space 4}-.0853889{col 74}{space 3}-.0541903
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.016614{col 33}{space 2} .0746565{col 44}{space 1}   -0.22{col 53}{space 3}0.824{col 61}{space 4}-.1629906{col 74}{space 3} .1297626
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .2387081{col 33}{space 2} .0343014{col 44}{space 1}    6.96{col 53}{space 3}0.000{col 61}{space 4} .1714545{col 74}{space 3} .3059618
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0012999{col 33}{space 2} .0009244{col 44}{space 1}   -1.41{col 53}{space 3}0.160{col 61}{space 4}-.0031124{col 74}{space 3} .0005125
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0189672{col 33}{space 2} .0323505{col 44}{space 1}    0.59{col 53}{space 3}0.558{col 61}{space 4}-.0444615{col 74}{space 3} .0823958
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0255206{col 33}{space 2} .0367015{col 44}{space 1}   -0.70{col 53}{space 3}0.487{col 61}{space 4}-.0974801{col 74}{space 3} .0464388
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} .0448911{col 33}{space 2} .0354854{col 44}{space 1}    1.27{col 53}{space 3}0.206{col 61}{space 4}-.0246839{col 74}{space 3} .1144661
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .3029994{col 33}{space 2} .1241211{col 44}{space 1}    2.44{col 53}{space 3}0.015{col 61}{space 4} .0596393{col 74}{space 3} .5463595
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table3RR ,  append  word se label
. reg gd_ptss   l.gd_ptss    l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,386
                                                {txt}F(11, 3374)       =  {res}  1335.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7711
                                                {txt}Root MSE          =    {res} .52059

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}            gd_ptss{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}gd_ptss {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .6919443{col 33}{space 2}  .013582{col 44}{space 1}   50.95{col 53}{space 3}0.000{col 61}{space 4} .6653145{col 74}{space 3}  .718574
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.1058912{col 33}{space 2} .0305643{col 44}{space 1}   -3.46{col 53}{space 3}0.001{col 61}{space 4}-.1658176{col 74}{space 3}-.0459648
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0125106{col 33}{space 2}   .00192{col 44}{space 1}   -6.52{col 53}{space 3}0.000{col 61}{space 4}-.0162751{col 74}{space 3}-.0087461
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0714434{col 33}{space 2}  .007068{col 44}{space 1}   10.11{col 53}{space 3}0.000{col 61}{space 4} .0575854{col 74}{space 3} .0853013
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0690104{col 33}{space 2} .0079725{col 44}{space 1}   -8.66{col 53}{space 3}0.000{col 61}{space 4}-.0846419{col 74}{space 3} -.053379
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0185128{col 33}{space 2} .0744867{col 44}{space 1}   -0.25{col 53}{space 3}0.804{col 61}{space 4}-.1645565{col 74}{space 3} .1275308
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .237954{col 33}{space 2} .0342918{col 44}{space 1}    6.94{col 53}{space 3}0.000{col 61}{space 4} .1707192{col 74}{space 3} .3051888
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.001298{col 33}{space 2}  .000924{col 44}{space 1}   -1.40{col 53}{space 3}0.160{col 61}{space 4}-.0031098{col 74}{space 3} .0005137
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0175422{col 33}{space 2} .0322862{col 44}{space 1}    0.54{col 53}{space 3}0.587{col 61}{space 4}-.0457603{col 74}{space 3} .0808448
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.027601{col 33}{space 2} .0368211{col 44}{space 1}   -0.75{col 53}{space 3}0.454{col 61}{space 4} -.099795{col 74}{space 3}  .044593
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} .0539391{col 33}{space 2} .0363435{col 44}{space 1}    1.48{col 53}{space 3}0.138{col 61}{space 4}-.0173185{col 74}{space 3} .1251967
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2784643{col 33}{space 2} .1248544{col 44}{space 1}    2.23{col 53}{space 3}0.026{col 61}{space 4} .0336664{col 74}{space 3} .5232621
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table3RR ,  append word se label
. 
. 
. *Table 10: Subcomponents driven by killing and disappearances -
. ologit polpris i.l.polpris   lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3561.7037}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -2094.624}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1987.0131}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1983.3392}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1983.3288}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-1983.3288}  
{res}
{txt}{col 1}Ordered logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:3,363}
{txt}{col 56}{lalign 13:Wald chi2({res:12})}{col 69} = {res}{ralign 7:1634.59}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1983.3288}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.4432}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}             polpris{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}L.polpris {c |}
{space 18}1  {c |}{col 22}{res}{space 2} 2.450509{col 34}{space 2} .1349768{col 45}{space 1}   18.16{col 54}{space 3}0.000{col 62}{space 4}  2.18596{col 75}{space 3} 2.715059
{txt}{space 18}2  {c |}{col 22}{res}{space 2} 4.510052{col 34}{space 2}    .1649{col 45}{space 1}   27.35{col 54}{space 3}0.000{col 62}{space 4} 4.186854{col 75}{space 3}  4.83325
{txt}{space 20} {c |}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .1010472{col 34}{space 2} .1488731{col 45}{space 1}    0.68{col 54}{space 3}0.497{col 62}{space 4}-.1907388{col 75}{space 3} .3928332
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}  .103138{col 34}{space 2} .0085694{col 45}{space 1}   12.04{col 54}{space 3}0.000{col 62}{space 4} .0863424{col 75}{space 3} .1199337
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.2847574{col 34}{space 2} .0325955{col 45}{space 1}   -8.74{col 54}{space 3}0.000{col 62}{space 4}-.3486433{col 75}{space 3}-.2208715
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .1569293{col 34}{space 2} .0340176{col 45}{space 1}    4.61{col 54}{space 3}0.000{col 62}{space 4} .0902561{col 75}{space 3} .2236026
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} .0831298{col 34}{space 2} .5809623{col 45}{space 1}    0.14{col 54}{space 3}0.886{col 62}{space 4}-1.055535{col 75}{space 3} 1.221795
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.7686906{col 34}{space 2} .1387376{col 45}{space 1}   -5.54{col 54}{space 3}0.000{col 62}{space 4}-1.040611{col 75}{space 3}-.4967699
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0039477{col 34}{space 2} .0044561{col 45}{space 1}   -0.89{col 54}{space 3}0.376{col 62}{space 4}-.0126815{col 75}{space 3} .0047862
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .3658691{col 34}{space 2} .1776193{col 45}{space 1}    2.06{col 54}{space 3}0.039{col 62}{space 4} .0177416{col 75}{space 3} .7139966
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.3493787{col 34}{space 2} .1514116{col 45}{space 1}   -2.31{col 54}{space 3}0.021{col 62}{space 4}-.6461399{col 75}{space 3}-.0526174
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.1389924{col 34}{space 2} .1589848{col 45}{space 1}   -0.87{col 54}{space 3}0.382{col 62}{space 4} -.450597{col 75}{space 3} .1726121
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-2.609123{col 34}{space 2} .6031392{col 62}{space 4}-3.791254{col 75}{space 3}-1.426992
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} .4537879{col 34}{space 2} .6124884{col 62}{space 4}-.7466673{col 75}{space 3} 1.654243
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **outreg2 using Table4RR , replace  word se label
. ologit tort  i.l.tort lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3292.1385}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2151.1531}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2028.6993}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2020.9449}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2020.9333}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2020.9333}  
{res}
{txt}{col 1}Ordered logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:3,365}
{txt}{col 56}{lalign 13:Wald chi2({res:12})}{col 69} = {res}{ralign 7:1484.05}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-2020.9333}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.3861}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}                tort{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}L.tort {c |}
{space 18}1  {c |}{col 22}{res}{space 2} 2.347525{col 34}{space 2} .0990933{col 45}{space 1}   23.69{col 54}{space 3}0.000{col 62}{space 4} 2.153306{col 75}{space 3} 2.541744
{txt}{space 18}2  {c |}{col 22}{res}{space 2} 4.914545{col 34}{space 2} .1795705{col 45}{space 1}   27.37{col 54}{space 3}0.000{col 62}{space 4} 4.562594{col 75}{space 3} 5.266497
{txt}{space 20} {c |}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2}-.0572713{col 34}{space 2} .1308359{col 45}{space 1}   -0.44{col 54}{space 3}0.662{col 62}{space 4} -.313705{col 75}{space 3} .1991624
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0484083{col 34}{space 2} .0087218{col 45}{space 1}    5.55{col 54}{space 3}0.000{col 62}{space 4} .0313138{col 75}{space 3} .0655028
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.2967245{col 34}{space 2} .0301227{col 45}{space 1}   -9.85{col 54}{space 3}0.000{col 62}{space 4}-.3557638{col 75}{space 3}-.2376851
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .3009217{col 34}{space 2} .0338989{col 45}{space 1}    8.88{col 54}{space 3}0.000{col 62}{space 4} .2344811{col 75}{space 3} .3673622
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} .0514968{col 34}{space 2} .4351947{col 45}{space 1}    0.12{col 54}{space 3}0.906{col 62}{space 4}-.8014692{col 75}{space 3} .9044627
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.4648437{col 34}{space 2} .1435685{col 45}{space 1}   -3.24{col 54}{space 3}0.001{col 62}{space 4}-.7462328{col 75}{space 3}-.1834545
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0141952{col 34}{space 2} .0040881{col 45}{space 1}    3.47{col 54}{space 3}0.001{col 62}{space 4} .0061827{col 75}{space 3} .0222078
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.3825884{col 34}{space 2} .1564355{col 45}{space 1}   -2.45{col 54}{space 3}0.014{col 62}{space 4}-.6891963{col 75}{space 3}-.0759805
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} .1266071{col 34}{space 2}  .159284{col 45}{space 1}    0.79{col 54}{space 3}0.427{col 62}{space 4}-.1855838{col 75}{space 3}  .438798
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.7377834{col 34}{space 2}  .163865{col 45}{space 1}   -4.50{col 54}{space 3}0.000{col 62}{space 4}-1.058953{col 75}{space 3}-.4166139
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-1.021968{col 34}{space 2} .5193443{col 62}{space 4}-2.039864{col 75}{space 3}-.0040715
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}  3.01567{col 34}{space 2} .5177043{col 62}{space 4} 2.000988{col 75}{space 3} 4.030352
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **outreg2 using Table4RR , append word se label
. ologit kill  i.l.kill lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3488.3127}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2170.0481}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2059.1552}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2048.4435}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2048.4323}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2048.4323}  
{res}
{txt}{col 1}Ordered logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:3,364}
{txt}{col 56}{lalign 13:Wald chi2({res:12})}{col 69} = {res}{ralign 7:1560.98}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-2048.4323}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.4128}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}                kill{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}L.kill {c |}
{space 18}1  {c |}{col 22}{res}{space 2} 2.886695{col 34}{space 2} .1520528{col 45}{space 1}   18.98{col 54}{space 3}0.000{col 62}{space 4} 2.588677{col 75}{space 3} 3.184713
{txt}{space 18}2  {c |}{col 22}{res}{space 2} 4.870882{col 34}{space 2} .1736669{col 45}{space 1}   28.05{col 54}{space 3}0.000{col 62}{space 4} 4.530501{col 75}{space 3} 5.211263
{txt}{space 20} {c |}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .7480262{col 34}{space 2}  .144582{col 45}{space 1}    5.17{col 54}{space 3}0.000{col 62}{space 4} .4646506{col 75}{space 3} 1.031402
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0225597{col 34}{space 2} .0083577{col 45}{space 1}    2.70{col 54}{space 3}0.007{col 62}{space 4} .0061789{col 75}{space 3} .0389404
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} -.342609{col 34}{space 2} .0327189{col 45}{space 1}  -10.47{col 54}{space 3}0.000{col 62}{space 4}-.4067369{col 75}{space 3}-.2784811
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .2953097{col 34}{space 2} .0347252{col 45}{space 1}    8.50{col 54}{space 3}0.000{col 62}{space 4} .2272497{col 75}{space 3} .3633698
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.9116678{col 34}{space 2} .5057393{col 45}{space 1}   -1.80{col 54}{space 3}0.071{col 62}{space 4}-1.902899{col 75}{space 3}  .079563
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.6534389{col 34}{space 2} .1463166{col 45}{space 1}   -4.47{col 54}{space 3}0.000{col 62}{space 4}-.9402142{col 75}{space 3}-.3666636
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0020597{col 34}{space 2} .0040115{col 45}{space 1}    0.51{col 54}{space 3}0.608{col 62}{space 4}-.0058027{col 75}{space 3} .0099221
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0468792{col 34}{space 2} .1633075{col 45}{space 1}    0.29{col 54}{space 3}0.774{col 62}{space 4}-.2731976{col 75}{space 3}  .366956
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}   .25955{col 34}{space 2} .1631864{col 45}{space 1}    1.59{col 54}{space 3}0.112{col 62}{space 4}-.0602894{col 75}{space 3} .5793895
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2} .0219523{col 34}{space 2} .1634425{col 45}{space 1}    0.13{col 54}{space 3}0.893{col 62}{space 4}-.2983891{col 75}{space 3} .3422936
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-2.287815{col 34}{space 2}  .595184{col 62}{space 4}-3.454354{col 75}{space 3}-1.121276
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 1.331922{col 34}{space 2} .6056149{col 62}{space 4} .1449387{col 75}{space 3} 2.518906
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **outreg2 using Table4RR , append word se label
. ologit disap i.l.disap lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2257.7064}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1623.2611}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1521.7498}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1384.7596}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1381.1456}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-1381.1416}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-1381.1416}  
{res}
{txt}{col 1}Ordered logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:3,361}
{txt}{col 56}{lalign 13:Wald chi2({res:12})}{col 69} = {res}{ralign 7:1094.04}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1381.1416}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.3883}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}               disap{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}L.disap {c |}
{space 18}1  {c |}{col 22}{res}{space 2} 2.270056{col 34}{space 2} .2024661{col 45}{space 1}   11.21{col 54}{space 3}0.000{col 62}{space 4}  1.87323{col 75}{space 3} 2.666883
{txt}{space 18}2  {c |}{col 22}{res}{space 2} 4.151354{col 34}{space 2} .2167237{col 45}{space 1}   19.16{col 54}{space 3}0.000{col 62}{space 4} 3.726584{col 75}{space 3} 4.576125
{txt}{space 20} {c |}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2}  .897468{col 34}{space 2} .2090895{col 45}{space 1}    4.29{col 54}{space 3}0.000{col 62}{space 4}   .48766{col 75}{space 3} 1.307276
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0762172{col 34}{space 2} .0107799{col 45}{space 1}    7.07{col 54}{space 3}0.000{col 62}{space 4}  .055089{col 75}{space 3} .0973454
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.3894854{col 34}{space 2} .0424416{col 45}{space 1}   -9.18{col 54}{space 3}0.000{col 62}{space 4}-.4726694{col 75}{space 3}-.3063015
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}  .144669{col 34}{space 2} .0458663{col 45}{space 1}    3.15{col 54}{space 3}0.002{col 62}{space 4} .0547728{col 75}{space 3} .2345652
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.8684407{col 34}{space 2} .4282752{col 45}{space 1}   -2.03{col 54}{space 3}0.043{col 62}{space 4}-1.707845{col 75}{space 3}-.0290367
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.8089851{col 34}{space 2} .1383738{col 45}{space 1}   -5.85{col 54}{space 3}0.000{col 62}{space 4}-1.080193{col 75}{space 3}-.5377774
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0055382{col 34}{space 2} .0063289{col 45}{space 1}    0.88{col 54}{space 3}0.382{col 62}{space 4}-.0068661{col 75}{space 3} .0179425
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.7540328{col 34}{space 2} .2371716{col 45}{space 1}   -3.18{col 54}{space 3}0.001{col 62}{space 4}-1.218881{col 75}{space 3} -.289185
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0131433{col 34}{space 2} .1928658{col 45}{space 1}   -0.07{col 54}{space 3}0.946{col 62}{space 4}-.3911532{col 75}{space 3} .3648667
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.5752916{col 34}{space 2} .2433093{col 45}{space 1}   -2.36{col 54}{space 3}0.018{col 62}{space 4}-1.052169{col 75}{space 3}-.0984141
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-5.323198{col 34}{space 2} .7939193{col 62}{space 4}-6.879251{col 75}{space 3}-3.767144
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-2.985857{col 34}{space 2}  .793497{col 62}{space 4}-4.541082{col 75}{space 3}-1.430631
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **outreg2 using Table4RR , append word se label
. reg v2clkill l.v2clkill lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res}  8584.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9664
                                                {txt}Root MSE          =    {res}  .2636

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}            v2clkill{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}v2clkill {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .9455714{col 34}{space 2}  .008815{col 45}{space 1}  107.27{col 54}{space 3}0.000{col 62}{space 4} .9282882{col 75}{space 3} .9628546
{txt}{space 20} {c |}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .0363752{col 34}{space 2} .0159776{col 45}{space 1}    2.28{col 54}{space 3}0.023{col 62}{space 4} .0050486{col 75}{space 3} .0677017
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0046674{col 34}{space 2} .0012846{col 45}{space 1}    3.63{col 54}{space 3}0.000{col 62}{space 4} .0021487{col 75}{space 3} .0071861
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0048198{col 34}{space 2} .0032604{col 45}{space 1}   -1.48{col 54}{space 3}0.139{col 62}{space 4}-.0112124{col 75}{space 3} .0015727
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0167519{col 34}{space 2} .0043428{col 45}{space 1}    3.86{col 54}{space 3}0.000{col 62}{space 4} .0082372{col 75}{space 3} .0252667
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0540667{col 34}{space 2} .0266581{col 45}{space 1}   -2.03{col 54}{space 3}0.043{col 62}{space 4}-.1063343{col 75}{space 3}-.0017991
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.0221485{col 34}{space 2} .0177886{col 45}{space 1}   -1.25{col 54}{space 3}0.213{col 62}{space 4}-.0570259{col 75}{space 3} .0127289
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0010834{col 34}{space 2} .0004397{col 45}{space 1}   -2.46{col 54}{space 3}0.014{col 62}{space 4}-.0019454{col 75}{space 3}-.0002214
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.0025998{col 34}{space 2} .0154232{col 45}{space 1}   -0.17{col 54}{space 3}0.866{col 62}{space 4}-.0328394{col 75}{space 3} .0276398
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0266824{col 34}{space 2} .0204226{col 45}{space 1}   -1.31{col 54}{space 3}0.191{col 62}{space 4}-.0667243{col 75}{space 3} .0133595
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2} -.030784{col 34}{space 2} .0215144{col 45}{space 1}   -1.43{col 54}{space 3}0.153{col 62}{space 4}-.0729664{col 75}{space 3} .0113984
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0163005{col 34}{space 2} .0638304{col 45}{space 1}    0.26{col 54}{space 3}0.798{col 62}{space 4}-.1088494{col 75}{space 3} .1414503
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table4RR , append word se label
. reg v2cltort l.v2cltort lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 12165.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9781
                                                {txt}Root MSE          =    {res} .21952

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}            v2cltort{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}v2cltort {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .9656753{col 34}{space 2} .0077638{col 45}{space 1}  124.38{col 54}{space 3}0.000{col 62}{space 4}  .950453{col 75}{space 3} .9808975
{txt}{space 20} {c |}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .0147656{col 34}{space 2} .0125671{col 45}{space 1}    1.17{col 54}{space 3}0.240{col 62}{space 4}-.0098741{col 75}{space 3} .0394054
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0040995{col 34}{space 2}  .001195{col 45}{space 1}    3.43{col 54}{space 3}0.001{col 62}{space 4} .0017565{col 75}{space 3} .0064425
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.0018061{col 34}{space 2} .0026732{col 45}{space 1}   -0.68{col 54}{space 3}0.499{col 62}{space 4}-.0070473{col 75}{space 3} .0034352
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0088725{col 34}{space 2}  .003414{col 45}{space 1}    2.60{col 54}{space 3}0.009{col 62}{space 4} .0021789{col 75}{space 3} .0155661
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.1115595{col 34}{space 2}  .050528{col 45}{space 1}   -2.21{col 54}{space 3}0.027{col 62}{space 4}-.2106277{col 75}{space 3}-.0124913
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.0086958{col 34}{space 2} .0148724{col 45}{space 1}   -0.58{col 54}{space 3}0.559{col 62}{space 4}-.0378555{col 75}{space 3} .0204639
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0003569{col 34}{space 2} .0003749{col 45}{space 1}   -0.95{col 54}{space 3}0.341{col 62}{space 4}-.0010919{col 75}{space 3} .0003781
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.0116793{col 34}{space 2}  .012589{col 45}{space 1}   -0.93{col 54}{space 3}0.354{col 62}{space 4}-.0363621{col 75}{space 3} .0130034
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0200768{col 34}{space 2} .0158212{col 45}{space 1}   -1.27{col 54}{space 3}0.205{col 62}{space 4}-.0510968{col 75}{space 3} .0109432
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.0387402{col 34}{space 2} .0171426{col 45}{space 1}   -2.26{col 54}{space 3}0.024{col 62}{space 4}-.0723509{col 75}{space 3}-.0051294
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -.007833{col 34}{space 2} .0527152{col 45}{space 1}   -0.15{col 54}{space 3}0.882{col 62}{space 4}-.1111897{col 75}{space 3} .0955238
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table4RR , append word se label
. *disappearances still works if take out the Americas:
. ologit disap lcai_cai2   lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct i.GEO7 if GEO2!=1, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1897.6091}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1507.6099}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1414.7003}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1410.0096}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1409.9937}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-1409.9937}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,762}
{txt}{col 57}{lalign 13:Wald chi2({res:10})}{col 70} = {res}{ralign 6:682.98}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1409.9937}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2570}

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}               disap{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} 1.187583{col 34}{space 2} .2077305{col 45}{space 1}    5.72{col 54}{space 3}0.000{col 62}{space 4} .7804388{col 75}{space 3} 1.594727
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} .0985179{col 34}{space 2} .0102717{col 45}{space 1}    9.59{col 54}{space 3}0.000{col 62}{space 4} .0783856{col 75}{space 3} .1186501
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.5716152{col 34}{space 2} .0410565{col 45}{space 1}  -13.92{col 54}{space 3}0.000{col 62}{space 4}-.6520844{col 75}{space 3}-.4911459
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .1619248{col 34}{space 2} .0418587{col 45}{space 1}    3.87{col 54}{space 3}0.000{col 62}{space 4} .0798833{col 75}{space 3} .2439663
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.7753721{col 34}{space 2}   .34024{col 45}{space 1}   -2.28{col 54}{space 3}0.023{col 62}{space 4} -1.44223{col 75}{space 3}-.1085139
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-1.787172{col 34}{space 2} .1201426{col 45}{space 1}  -14.88{col 54}{space 3}0.000{col 62}{space 4}-2.022647{col 75}{space 3}-1.551697
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .0095988{col 34}{space 2} .0059874{col 45}{space 1}    1.60{col 54}{space 3}0.109{col 62}{space 4}-.0021362{col 75}{space 3} .0213338
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.6619817{col 34}{space 2} .2806654{col 45}{space 1}   -2.36{col 54}{space 3}0.018{col 62}{space 4}-1.212076{col 75}{space 3}-.1118876
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} .2486872{col 34}{space 2} .1691701{col 45}{space 1}    1.47{col 54}{space 3}0.142{col 62}{space 4}-.0828802{col 75}{space 3} .5802545
{txt}{space 14}1.GEO7 {c |}{col 22}{res}{space 2}-.7680722{col 34}{space 2} .2206964{col 45}{space 1}   -3.48{col 54}{space 3}0.001{col 62}{space 4}-1.200629{col 75}{space 3}-.3355151
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-10.73551{col 34}{space 2} .7771524{col 62}{space 4} -12.2587{col 75}{space 3}-9.212316
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} -9.03091{col 34}{space 2} .7692942{col 62}{space 4} -10.5387{col 75}{space 3}-7.523121
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **outreg2 using Table4RR , append word se label
. 
. 
. *Adding Additional Control Variables 
. *Table 11: Cheibub, Gandhi and Vreeland indicator for democracy
. reg theta_mean  l.theta_mean  l.cai_cai1   l.chga_demo l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,543
                                                {txt}F(11, 2531)       =  {res}  9829.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9706
                                                {txt}Root MSE          =    {res} .24345

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9538658{col 33}{space 2} .0076531{col 44}{space 1}  124.64{col 53}{space 3}0.000{col 61}{space 4} .9388588{col 74}{space 3} .9688728
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0059912{col 33}{space 2} .0023776{col 44}{space 1}    2.52{col 53}{space 3}0.012{col 61}{space 4}  .001329{col 74}{space 3} .0106535
{txt}{space 19} {c |}
{space 10}chga_demo {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0128489{col 33}{space 2} .0144232{col 44}{space 1}    0.89{col 53}{space 3}0.373{col 61}{space 4}-.0154335{col 74}{space 3} .0411313
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0199168{col 33}{space 2} .0040217{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4} -.027803{col 74}{space 3}-.0120307
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0146141{col 33}{space 2} .0045351{col 44}{space 1}    3.22{col 53}{space 3}0.001{col 61}{space 4} .0057212{col 74}{space 3} .0235069
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0418066{col 33}{space 2} .0228117{col 44}{space 1}   -1.83{col 53}{space 3}0.067{col 61}{space 4} -.086538{col 74}{space 3} .0029248
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0104749{col 33}{space 2} .0206968{col 44}{space 1}    0.51{col 53}{space 3}0.613{col 61}{space 4}-.0301095{col 74}{space 3} .0510594
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0004592{col 33}{space 2} .0007582{col 44}{space 1}    0.61{col 53}{space 3}0.545{col 61}{space 4}-.0010276{col 74}{space 3}  .001946
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0335685{col 33}{space 2} .0146216{col 44}{space 1}    2.30{col 53}{space 3}0.022{col 61}{space 4} .0048969{col 74}{space 3}   .06224
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0096116{col 33}{space 2} .0218226{col 44}{space 1}    0.44{col 53}{space 3}0.660{col 61}{space 4}-.0331805{col 74}{space 3} .0524036
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0361711{col 33}{space 2} .0144136{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4}-.0644349{col 74}{space 3}-.0079074
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1963499{col 33}{space 2} .0653562{col 44}{space 1}    3.00{col 53}{space 3}0.003{col 61}{space 4} .0681928{col 74}{space 3} .3245071
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table5RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   l.chga_demo l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,543
                                                {txt}F(11, 2531)       =  {res}  9822.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9706
                                                {txt}Root MSE          =    {res} .24339

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9535526{col 33}{space 2} .0076631{col 44}{space 1}  124.43{col 53}{space 3}0.000{col 61}{space 4} .9385261{col 74}{space 3} .9685792
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .041615{col 33}{space 2} .0145089{col 44}{space 1}    2.87{col 53}{space 3}0.004{col 61}{space 4} .0131644{col 74}{space 3} .0700655
{txt}{space 19} {c |}
{space 10}chga_demo {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0126852{col 33}{space 2} .0144334{col 44}{space 1}    0.88{col 53}{space 3}0.380{col 61}{space 4}-.0156173{col 74}{space 3} .0409878
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0202167{col 33}{space 2} .0040381{col 44}{space 1}   -5.01{col 53}{space 3}0.000{col 61}{space 4} -.028135{col 74}{space 3}-.0122985
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0142331{col 33}{space 2} .0045093{col 44}{space 1}    3.16{col 53}{space 3}0.002{col 61}{space 4} .0053907{col 74}{space 3} .0230755
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0409853{col 33}{space 2}  .022866{col 44}{space 1}   -1.79{col 53}{space 3}0.073{col 61}{space 4}-.0858232{col 74}{space 3} .0038526
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0107268{col 33}{space 2}  .020707{col 44}{space 1}    0.52{col 53}{space 3}0.604{col 61}{space 4}-.0298776{col 74}{space 3} .0513312
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0004584{col 33}{space 2} .0007601{col 44}{space 1}    0.60{col 53}{space 3}0.547{col 61}{space 4}-.0010321{col 74}{space 3} .0019489
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0344741{col 33}{space 2} .0144425{col 44}{space 1}    2.39{col 53}{space 3}0.017{col 61}{space 4} .0061537{col 74}{space 3} .0627945
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .010761{col 33}{space 2} .0218571{col 44}{space 1}    0.49{col 53}{space 3}0.623{col 61}{space 4}-.0320986{col 74}{space 3} .0536206
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0404143{col 33}{space 2} .0146769{col 44}{space 1}   -2.75{col 53}{space 3}0.006{col 61}{space 4}-.0691943{col 74}{space 3}-.0116343
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2082888{col 33}{space 2} .0658511{col 44}{space 1}    3.16{col 53}{space 3}0.002{col 61}{space 4} .0791613{col 74}{space 3} .3374164
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table5RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.chga_demo l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,543
                                                {txt}F(11, 2531)       =  {res} 31181.23
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9867
                                                {txt}Root MSE          =    {res}  .1269

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9852837{col 33}{space 2} .0041489{col 44}{space 1}  237.48{col 53}{space 3}0.000{col 61}{space 4} .9771482{col 74}{space 3} .9934192
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .004337{col 33}{space 2} .0014952{col 44}{space 1}    2.90{col 53}{space 3}0.004{col 61}{space 4}  .001405{col 74}{space 3} .0072689
{txt}{space 19} {c |}
{space 10}chga_demo {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .005237{col 33}{space 2}  .006896{col 44}{space 1}    0.76{col 53}{space 3}0.448{col 61}{space 4}-.0082854{col 74}{space 3} .0187595
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0022585{col 33}{space 2} .0014884{col 44}{space 1}   -1.52{col 53}{space 3}0.129{col 61}{space 4}-.0051771{col 74}{space 3} .0006601
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0018815{col 33}{space 2} .0018184{col 44}{space 1}   -1.03{col 53}{space 3}0.301{col 61}{space 4}-.0054472{col 74}{space 3} .0016843
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0215349{col 33}{space 2} .0073402{col 44}{space 1}   -2.93{col 53}{space 3}0.003{col 61}{space 4}-.0359282{col 74}{space 3}-.0071416
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0106683{col 33}{space 2} .0099573{col 44}{space 1}    1.07{col 53}{space 3}0.284{col 61}{space 4}-.0088571{col 74}{space 3} .0301936
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0000329{col 33}{space 2} .0002679{col 44}{space 1}    0.12{col 53}{space 3}0.902{col 61}{space 4}-.0004924{col 74}{space 3} .0005582
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}   .00388{col 33}{space 2}  .008665{col 44}{space 1}    0.45{col 53}{space 3}0.654{col 61}{space 4}-.0131113{col 74}{space 3} .0208713
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0024491{col 33}{space 2} .0116166{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-.0252282{col 74}{space 3}   .02033
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.027776{col 33}{space 2} .0086272{col 44}{space 1}   -3.22{col 53}{space 3}0.001{col 61}{space 4} -.044693{col 74}{space 3}-.0108589
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .055152{col 33}{space 2} .0291999{col 44}{space 1}    1.89{col 53}{space 3}0.059{col 61}{space 4}-.0021062{col 74}{space 3} .1124102
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table5RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.chga_demo l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,543
                                                {txt}F(11, 2531)       =  {res} 31119.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9867
                                                {txt}Root MSE          =    {res} .12691

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9853761{col 33}{space 2} .0041099{col 44}{space 1}  239.76{col 53}{space 3}0.000{col 61}{space 4}  .977317{col 74}{space 3} .9934351
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0265481{col 33}{space 2} .0090298{col 44}{space 1}    2.94{col 53}{space 3}0.003{col 61}{space 4} .0088415{col 74}{space 3} .0442547
{txt}{space 19} {c |}
{space 10}chga_demo {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .004924{col 33}{space 2} .0068864{col 44}{space 1}    0.72{col 53}{space 3}0.475{col 61}{space 4}-.0085796{col 74}{space 3} .0184276
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0023097{col 33}{space 2} .0014944{col 44}{space 1}   -1.55{col 53}{space 3}0.122{col 61}{space 4}-.0052401{col 74}{space 3} .0006207
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0018964{col 33}{space 2} .0018404{col 44}{space 1}   -1.03{col 53}{space 3}0.303{col 61}{space 4}-.0055052{col 74}{space 3} .0017124
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0205563{col 33}{space 2} .0071488{col 44}{space 1}   -2.88{col 53}{space 3}0.004{col 61}{space 4}-.0345743{col 74}{space 3}-.0065383
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0108523{col 33}{space 2} .0099731{col 44}{space 1}    1.09{col 53}{space 3}0.277{col 61}{space 4} -.008704{col 74}{space 3} .0304087
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0000537{col 33}{space 2} .0002618{col 44}{space 1}    0.20{col 53}{space 3}0.838{col 61}{space 4}-.0004597{col 74}{space 3}  .000567
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0034062{col 33}{space 2} .0086608{col 44}{space 1}    0.39{col 53}{space 3}0.694{col 61}{space 4}-.0135768{col 74}{space 3} .0203892
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0023205{col 33}{space 2} .0117254{col 44}{space 1}   -0.20{col 53}{space 3}0.843{col 61}{space 4}-.0253128{col 74}{space 3} .0206718
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0287453{col 33}{space 2} .0087935{col 44}{space 1}   -3.27{col 53}{space 3}0.001{col 61}{space 4}-.0459885{col 74}{space 3}-.0115021
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0606141{col 33}{space 2} .0294348{col 44}{space 1}    2.06{col 53}{space 3}0.040{col 61}{space 4} .0028954{col 74}{space 3} .1183328
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table5RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.chga_demo l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,543
                                                {txt}F(12, 2530)       =  {res} 10417.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9708
                                                {txt}Root MSE          =    {res} .24274

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9436752{col 33}{space 2} .0087823{col 44}{space 1}  107.45{col 53}{space 3}0.000{col 61}{space 4}  .926454{col 74}{space 3} .9608964
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0229605{col 33}{space 2} .0069527{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4} .0093269{col 74}{space 3} .0365942
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0042949{col 33}{space 2} .0024264{col 44}{space 1}    1.77{col 53}{space 3}0.077{col 61}{space 4} -.000463{col 74}{space 3} .0090528
{txt}{space 19} {c |}
{space 10}chga_demo {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0023449{col 33}{space 2} .0136216{col 44}{space 1}    0.17{col 53}{space 3}0.863{col 61}{space 4}-.0243658{col 74}{space 3} .0290556
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.021419{col 33}{space 2} .0041277{col 44}{space 1}   -5.19{col 53}{space 3}0.000{col 61}{space 4} -.029513{col 74}{space 3} -.013325
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0181841{col 33}{space 2} .0045938{col 44}{space 1}    3.96{col 53}{space 3}0.000{col 61}{space 4} .0091761{col 74}{space 3} .0271921
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0310351{col 33}{space 2} .0219196{col 44}{space 1}   -1.42{col 53}{space 3}0.157{col 61}{space 4}-.0740173{col 74}{space 3} .0119471
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0079826{col 33}{space 2} .0204533{col 44}{space 1}    0.39{col 53}{space 3}0.696{col 61}{space 4}-.0321244{col 74}{space 3} .0480895
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001004{col 33}{space 2} .0007642{col 44}{space 1}    0.13{col 53}{space 3}0.896{col 61}{space 4}-.0013981{col 74}{space 3} .0015988
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0339684{col 33}{space 2} .0146618{col 44}{space 1}    2.32{col 53}{space 3}0.021{col 61}{space 4} .0052179{col 74}{space 3} .0627188
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0090302{col 33}{space 2} .0216594{col 44}{space 1}    0.42{col 53}{space 3}0.677{col 61}{space 4}-.0334418{col 74}{space 3} .0515021
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0371239{col 33}{space 2} .0144319{col 44}{space 1}   -2.57{col 53}{space 3}0.010{col 61}{space 4}-.0654235{col 74}{space 3}-.0088243
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1887577{col 33}{space 2} .0645785{col 44}{space 1}    2.92{col 53}{space 3}0.003{col 61}{space 4} .0621255{col 74}{space 3} .3153898
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table5RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.chga_demo l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     2,543
                                                {txt}F(12, 2530)       =  {res} 10401.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9708
                                                {txt}Root MSE          =    {res} .24268

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9434181{col 33}{space 2} .0087948{col 44}{space 1}  107.27{col 53}{space 3}0.000{col 61}{space 4} .9261724{col 74}{space 3} .9606638
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0228034{col 33}{space 2} .0069095{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4} .0092546{col 74}{space 3} .0363522
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0318179{col 33}{space 2} .0146681{col 44}{space 1}    2.17{col 53}{space 3}0.030{col 61}{space 4} .0030552{col 74}{space 3} .0605806
{txt}{space 19} {c |}
{space 10}chga_demo {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0023517{col 33}{space 2} .0136499{col 44}{space 1}    0.17{col 53}{space 3}0.863{col 61}{space 4}-.0244144{col 74}{space 3} .0291178
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.021703{col 33}{space 2} .0041452{col 44}{space 1}   -5.24{col 53}{space 3}0.000{col 61}{space 4}-.0298314{col 74}{space 3}-.0135747
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0177375{col 33}{space 2} .0045564{col 44}{space 1}    3.89{col 53}{space 3}0.000{col 61}{space 4} .0088027{col 74}{space 3} .0266722
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0307201{col 33}{space 2}  .021974{col 44}{space 1}   -1.40{col 53}{space 3}0.162{col 61}{space 4}-.0738089{col 74}{space 3} .0123686
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .008218{col 33}{space 2} .0204621{col 44}{space 1}    0.40{col 53}{space 3}0.688{col 61}{space 4}-.0319062{col 74}{space 3} .0483422
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0000885{col 33}{space 2} .0007667{col 44}{space 1}    0.12{col 53}{space 3}0.908{col 61}{space 4}-.0014149{col 74}{space 3}  .001592
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0352469{col 33}{space 2} .0144803{col 44}{space 1}    2.43{col 53}{space 3}0.015{col 61}{space 4} .0068525{col 74}{space 3} .0636413
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0102374{col 33}{space 2} .0216999{col 44}{space 1}    0.47{col 53}{space 3}0.637{col 61}{space 4}-.0323139{col 74}{space 3} .0527888
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0413036{col 33}{space 2} .0147052{col 44}{space 1}   -2.81{col 53}{space 3}0.005{col 61}{space 4} -.070139{col 74}{space 3}-.0124683
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1989987{col 33}{space 2} .0649638{col 44}{space 1}    3.06{col 53}{space 3}0.002{col 61}{space 4} .0716109{col 74}{space 3} .3263864
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table5RR ,  append word se label
. 
. 
. 
. *Table 12: control for religious freedom
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.rel_free, robust

{txt}Linear regression                               Number of obs     = {res}     3,406
                                                {txt}F(12, 3393)       =  {res} 13651.62
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23268

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9593819{col 33}{space 2}  .006493{col 44}{space 1}  147.76{col 53}{space 3}0.000{col 61}{space 4} .9466512{col 74}{space 3} .9721125
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0056122{col 33}{space 2} .0020834{col 44}{space 1}    2.69{col 53}{space 3}0.007{col 61}{space 4} .0015273{col 74}{space 3} .0096972
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0023128{col 33}{space 2} .0008726{col 44}{space 1}    2.65{col 53}{space 3}0.008{col 61}{space 4} .0006019{col 74}{space 3} .0040238
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0170983{col 33}{space 2} .0035879{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4} -.024133{col 74}{space 3}-.0100636
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0123021{col 33}{space 2} .0040478{col 44}{space 1}    3.04{col 53}{space 3}0.002{col 61}{space 4} .0043656{col 74}{space 3} .0202386
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0205593{col 33}{space 2} .0216863{col 44}{space 1}   -0.95{col 53}{space 3}0.343{col 61}{space 4}-.0630788{col 74}{space 3} .0219602
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0137817{col 33}{space 2} .0163116{col 44}{space 1}    0.84{col 53}{space 3}0.398{col 61}{space 4}-.0181999{col 74}{space 3} .0457633
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001299{col 33}{space 2} .0005566{col 44}{space 1}    0.23{col 53}{space 3}0.815{col 61}{space 4}-.0009615{col 74}{space 3} .0012213
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0175325{col 33}{space 2} .0117946{col 44}{space 1}    1.49{col 53}{space 3}0.137{col 61}{space 4}-.0055927{col 74}{space 3} .0406577
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0150757{col 33}{space 2} .0202746{col 44}{space 1}   -0.74{col 53}{space 3}0.457{col 61}{space 4}-.0548274{col 74}{space 3} .0246759
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0276997{col 33}{space 2}  .012044{col 44}{space 1}   -2.30{col 53}{space 3}0.022{col 61}{space 4}-.0513139{col 74}{space 3}-.0040856
{txt}{space 19} {c |}
{space 11}rel_free {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0056298{col 33}{space 2} .0082979{col 44}{space 1}    0.68{col 53}{space 3}0.498{col 61}{space 4}-.0106395{col 74}{space 3} .0218991
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1744181{col 33}{space 2}  .057471{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0617367{col 74}{space 3} .2870994
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table7RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.rel_free, robust

{txt}Linear regression                               Number of obs     = {res}     3,406
                                                {txt}F(12, 3393)       =  {res} 13598.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23267

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9593359{col 33}{space 2}  .006498{col 44}{space 1}  147.64{col 53}{space 3}0.000{col 61}{space 4} .9465955{col 74}{space 3} .9720763
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0358234{col 33}{space 2} .0127731{col 44}{space 1}    2.80{col 53}{space 3}0.005{col 61}{space 4} .0107797{col 74}{space 3} .0608671
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .002285{col 33}{space 2} .0008712{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4} .0005769{col 74}{space 3} .0039931
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0171884{col 33}{space 2} .0035978{col 44}{space 1}   -4.78{col 53}{space 3}0.000{col 61}{space 4}-.0242425{col 74}{space 3}-.0101343
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0121484{col 33}{space 2} .0040088{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0042886{col 74}{space 3} .0200083
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0197125{col 33}{space 2} .0217829{col 44}{space 1}   -0.90{col 53}{space 3}0.366{col 61}{space 4}-.0624215{col 74}{space 3} .0229965
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .014056{col 33}{space 2} .0163166{col 44}{space 1}    0.86{col 53}{space 3}0.389{col 61}{space 4}-.0179353{col 74}{space 3} .0460473
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001418{col 33}{space 2} .0005613{col 44}{space 1}    0.25{col 53}{space 3}0.801{col 61}{space 4}-.0009586{col 74}{space 3} .0012422
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .017505{col 33}{space 2} .0116522{col 44}{space 1}    1.50{col 53}{space 3}0.133{col 61}{space 4} -.005341{col 74}{space 3}  .040351
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0145137{col 33}{space 2} .0203935{col 44}{space 1}   -0.71{col 53}{space 3}0.477{col 61}{space 4}-.0544985{col 74}{space 3} .0254712
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0299185{col 33}{space 2}  .012339{col 44}{space 1}   -2.42{col 53}{space 3}0.015{col 61}{space 4}-.0541111{col 74}{space 3}-.0057259
{txt}{space 19} {c |}
{space 11}rel_free {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0057222{col 33}{space 2} .0083203{col 44}{space 1}    0.69{col 53}{space 3}0.492{col 61}{space 4}-.0105911{col 74}{space 3} .0220356
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  .182326{col 33}{space 2} .0577414{col 44}{space 1}    3.16{col 53}{space 3}0.002{col 61}{space 4} .0691146{col 74}{space 3} .2955374
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table7RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.rel_free, robust

{txt}Linear regression                               Number of obs     = {res}     3,406
                                                {txt}F(12, 3393)       =  {res} 20040.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9865
                                                {txt}Root MSE          =    {res} .13159

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9873606{col 33}{space 2}  .004189{col 44}{space 1}  235.70{col 53}{space 3}0.000{col 61}{space 4} .9791473{col 74}{space 3} .9955738
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .002993{col 33}{space 2} .0013882{col 44}{space 1}    2.16{col 53}{space 3}0.031{col 61}{space 4} .0002712{col 74}{space 3} .0057147
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003686{col 33}{space 2} .0005631{col 44}{space 1}    0.65{col 53}{space 3}0.513{col 61}{space 4}-.0007354{col 74}{space 3} .0014727
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0033434{col 33}{space 2} .0016438{col 44}{space 1}   -2.03{col 53}{space 3}0.042{col 61}{space 4}-.0065664{col 74}{space 3}-.0001204
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0022492{col 33}{space 2} .0015276{col 44}{space 1}   -1.47{col 53}{space 3}0.141{col 61}{space 4}-.0052444{col 74}{space 3}  .000746
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0199383{col 33}{space 2}  .012773{col 44}{space 1}   -1.56{col 53}{space 3}0.119{col 61}{space 4}-.0449818{col 74}{space 3} .0051052
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0093556{col 33}{space 2} .0087249{col 44}{space 1}    1.07{col 53}{space 3}0.284{col 61}{space 4}-.0077509{col 74}{space 3} .0264622
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0003125{col 33}{space 2} .0002137{col 44}{space 1}   -1.46{col 53}{space 3}0.144{col 61}{space 4}-.0007314{col 74}{space 3} .0001065
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014153{col 33}{space 2}  .008782{col 44}{space 1}    0.16{col 53}{space 3}0.872{col 61}{space 4}-.0158033{col 74}{space 3}  .018634
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0094172{col 33}{space 2} .0090947{col 44}{space 1}   -1.04{col 53}{space 3}0.301{col 61}{space 4}-.0272488{col 74}{space 3} .0084143
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0167272{col 33}{space 2} .0088503{col 44}{space 1}   -1.89{col 53}{space 3}0.059{col 61}{space 4}-.0340797{col 74}{space 3} .0006254
{txt}{space 19} {c |}
{space 11}rel_free {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .009088{col 33}{space 2} .0038039{col 44}{space 1}    2.39{col 53}{space 3}0.017{col 61}{space 4} .0016299{col 74}{space 3} .0165462
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0700786{col 33}{space 2} .0302879{col 44}{space 1}    2.31{col 53}{space 3}0.021{col 61}{space 4} .0106943{col 74}{space 3}  .129463
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table7RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.rel_free, robust

{txt}Linear regression                               Number of obs     = {res}     3,406
                                                {txt}F(12, 3393)       =  {res} 20184.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9865
                                                {txt}Root MSE          =    {res} .13161

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9875075{col 33}{space 2} .0041495{col 44}{space 1}  237.98{col 53}{space 3}0.000{col 61}{space 4} .9793718{col 74}{space 3} .9956431
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0172721{col 33}{space 2} .0083822{col 44}{space 1}    2.06{col 53}{space 3}0.039{col 61}{space 4} .0008374{col 74}{space 3} .0337067
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003566{col 33}{space 2}  .000562{col 44}{space 1}    0.63{col 53}{space 3}0.526{col 61}{space 4}-.0007454{col 74}{space 3} .0014586
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0033534{col 33}{space 2} .0016468{col 44}{space 1}   -2.04{col 53}{space 3}0.042{col 61}{space 4}-.0065822{col 74}{space 3}-.0001246
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0021734{col 33}{space 2} .0015237{col 44}{space 1}   -1.43{col 53}{space 3}0.154{col 61}{space 4} -.005161{col 74}{space 3} .0008141
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0191828{col 33}{space 2} .0126652{col 44}{space 1}   -1.51{col 53}{space 3}0.130{col 61}{space 4} -.044015{col 74}{space 3} .0056494
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0094642{col 33}{space 2} .0087424{col 44}{space 1}    1.08{col 53}{space 3}0.279{col 61}{space 4}-.0076766{col 74}{space 3}  .026605
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002975{col 33}{space 2} .0002109{col 44}{space 1}   -1.41{col 53}{space 3}0.158{col 61}{space 4}-.0007111{col 74}{space 3}  .000116
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008629{col 33}{space 2} .0088519{col 44}{space 1}    0.10{col 53}{space 3}0.922{col 61}{space 4}-.0164926{col 74}{space 3} .0182185
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0094558{col 33}{space 2} .0091639{col 44}{space 1}   -1.03{col 53}{space 3}0.302{col 61}{space 4}-.0274232{col 74}{space 3} .0085115
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0169183{col 33}{space 2} .0090514{col 44}{space 1}   -1.87{col 53}{space 3}0.062{col 61}{space 4}-.0346651{col 74}{space 3} .0008284
{txt}{space 19} {c |}
{space 11}rel_free {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0090399{col 33}{space 2} .0037882{col 44}{space 1}    2.39{col 53}{space 3}0.017{col 61}{space 4} .0016124{col 74}{space 3} .0164673
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0732132{col 33}{space 2} .0302941{col 44}{space 1}    2.42{col 53}{space 3}0.016{col 61}{space 4} .0138168{col 74}{space 3} .1326097
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table7RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.rel_free, robust

{txt}Linear regression                               Number of obs     = {res}     3,406
                                                {txt}F(13, 3392)       =  {res} 13968.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9720
                                                {txt}Root MSE          =    {res} .23216

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9512886{col 33}{space 2} .0072898{col 44}{space 1}  130.50{col 53}{space 3}0.000{col 61}{space 4} .9369957{col 74}{space 3} .9655814
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0197904{col 33}{space 2} .0055828{col 44}{space 1}    3.54{col 53}{space 3}0.000{col 61}{space 4} .0088445{col 74}{space 3} .0307364
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0040401{col 33}{space 2} .0021986{col 44}{space 1}    1.84{col 53}{space 3}0.066{col 61}{space 4}-.0002706{col 74}{space 3} .0083508
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0013699{col 33}{space 2} .0008549{col 44}{space 1}    1.60{col 53}{space 3}0.109{col 61}{space 4}-.0003063{col 74}{space 3} .0030462
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0185986{col 33}{space 2} .0036343{col 44}{space 1}   -5.12{col 53}{space 3}0.000{col 61}{space 4}-.0257243{col 74}{space 3} -.011473
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0152137{col 33}{space 2} .0040866{col 44}{space 1}    3.72{col 53}{space 3}0.000{col 61}{space 4} .0072013{col 74}{space 3} .0232261
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0093804{col 33}{space 2} .0214446{col 44}{space 1}   -0.44{col 53}{space 3}0.662{col 61}{space 4} -.051426{col 74}{space 3} .0326652
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}   .01251{col 33}{space 2} .0161745{col 44}{space 1}    0.77{col 53}{space 3}0.439{col 61}{space 4}-.0192029{col 74}{space 3} .0442228
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001197{col 33}{space 2} .0005512{col 44}{space 1}   -0.22{col 53}{space 3}0.828{col 61}{space 4}-.0012005{col 74}{space 3}  .000961
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0201404{col 33}{space 2} .0117008{col 44}{space 1}    1.72{col 53}{space 3}0.085{col 61}{space 4} -.002801{col 74}{space 3} .0430818
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0196252{col 33}{space 2} .0199347{col 44}{space 1}   -0.98{col 53}{space 3}0.325{col 61}{space 4}-.0587105{col 74}{space 3} .0194601
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0321809{col 33}{space 2} .0120231{col 44}{space 1}   -2.68{col 53}{space 3}0.007{col 61}{space 4}-.0557541{col 74}{space 3}-.0086077
{txt}{space 19} {c |}
{space 11}rel_free {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014744{col 33}{space 2} .0080117{col 44}{space 1}    0.18{col 53}{space 3}0.854{col 61}{space 4}-.0142339{col 74}{space 3} .0171827
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1777547{col 33}{space 2} .0574548{col 44}{space 1}    3.09{col 53}{space 3}0.002{col 61}{space 4} .0651051{col 74}{space 3} .2904042
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table7RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.rel_free, robust

{txt}Linear regression                               Number of obs     = {res}     3,406
                                                {txt}F(13, 3392)       =  {res} 13939.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9720
                                                {txt}Root MSE          =    {res} .23214

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9512087{col 33}{space 2} .0072973{col 44}{space 1}  130.35{col 53}{space 3}0.000{col 61}{space 4} .9369011{col 74}{space 3} .9655163
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0197931{col 33}{space 2} .0055462{col 44}{space 1}    3.57{col 53}{space 3}0.000{col 61}{space 4} .0089188{col 74}{space 3} .0306674
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0266549{col 33}{space 2} .0133764{col 44}{space 1}    1.99{col 53}{space 3}0.046{col 61}{space 4} .0004282{col 74}{space 3} .0528816
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0013452{col 33}{space 2} .0008545{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0003302{col 74}{space 3} .0030206
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0186891{col 33}{space 2} .0036444{col 44}{space 1}   -5.13{col 53}{space 3}0.000{col 61}{space 4}-.0258345{col 74}{space 3}-.0115437
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .015038{col 33}{space 2} .0040431{col 44}{space 1}    3.72{col 53}{space 3}0.000{col 61}{space 4} .0071109{col 74}{space 3} .0229652
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0088779{col 33}{space 2} .0215179{col 44}{space 1}   -0.41{col 53}{space 3}0.680{col 61}{space 4}-.0510672{col 74}{space 3} .0333114
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .012717{col 33}{space 2} .0161775{col 44}{space 1}    0.79{col 53}{space 3}0.432{col 61}{space 4}-.0190016{col 74}{space 3} .0444356
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0001162{col 33}{space 2} .0005555{col 44}{space 1}   -0.21{col 53}{space 3}0.834{col 61}{space 4}-.0012055{col 74}{space 3}  .000973
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0203943{col 33}{space 2} .0115583{col 44}{space 1}    1.76{col 53}{space 3}0.078{col 61}{space 4}-.0022676{col 74}{space 3} .0430562
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0190704{col 33}{space 2} .0200566{col 44}{space 1}   -0.95{col 53}{space 3}0.342{col 61}{space 4}-.0583946{col 74}{space 3} .0202537
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0342822{col 33}{space 2} .0123252{col 44}{space 1}   -2.78{col 53}{space 3}0.005{col 61}{space 4}-.0584476{col 74}{space 3}-.0101167
{txt}{space 19} {c |}
{space 11}rel_free {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0015741{col 33}{space 2} .0080374{col 44}{space 1}    0.20{col 53}{space 3}0.845{col 61}{space 4}-.0141845{col 74}{space 3} .0173326
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1839904{col 33}{space 2} .0576917{col 44}{space 1}    3.19{col 53}{space 3}0.001{col 61}{space 4} .0708764{col 74}{space 3} .2971044
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table7RR ,  append word se label
. 
. 
. *Table 13: control for globalization
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.dr_ig, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 13382.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23268

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9595614{col 33}{space 2} .0063373{col 44}{space 1}  151.41{col 53}{space 3}0.000{col 61}{space 4}  .947136{col 74}{space 3} .9719868
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0048211{col 33}{space 2} .0020075{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .0008852{col 74}{space 3} .0087571
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0020864{col 33}{space 2} .0010063{col 44}{space 1}    2.07{col 53}{space 3}0.038{col 61}{space 4} .0001133{col 74}{space 3} .0040595
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0189852{col 33}{space 2} .0039821{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4}-.0267928{col 74}{space 3}-.0111776
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0056222{col 33}{space 2} .0054955{col 44}{space 1}    1.02{col 53}{space 3}0.306{col 61}{space 4}-.0051525{col 74}{space 3} .0163969
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017468{col 33}{space 2} .0214521{col 44}{space 1}   -0.81{col 53}{space 3}0.416{col 61}{space 4}-.0595283{col 74}{space 3} .0245923
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0135789{col 33}{space 2} .0162733{col 44}{space 1}    0.83{col 53}{space 3}0.404{col 61}{space 4}-.0183275{col 74}{space 3} .0454853
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000646{col 33}{space 2} .0005737{col 44}{space 1}   -0.11{col 53}{space 3}0.910{col 61}{space 4}-.0011894{col 74}{space 3} .0010602
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0183756{col 33}{space 2} .0116197{col 44}{space 1}    1.58{col 53}{space 3}0.114{col 61}{space 4}-.0044068{col 74}{space 3}  .041158
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0197029{col 33}{space 2}  .018373{col 44}{space 1}   -1.07{col 53}{space 3}0.284{col 61}{space 4}-.0557262{col 74}{space 3} .0163204
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.028421{col 33}{space 2} .0122385{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4}-.0524166{col 74}{space 3}-.0044254
{txt}{space 19} {c |}
{space 14}dr_ig {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008762{col 33}{space 2} .0005639{col 44}{space 1}    1.55{col 53}{space 3}0.120{col 61}{space 4}-.0002294{col 74}{space 3} .0019819
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2253524{col 33}{space 2} .0651856{col 44}{space 1}    3.46{col 53}{space 3}0.001{col 61}{space 4} .0975454{col 74}{space 3} .3531594
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table8RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.dr_ig, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 13307.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23267

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9595058{col 33}{space 2}   .00634{col 44}{space 1}  151.34{col 53}{space 3}0.000{col 61}{space 4} .9470752{col 74}{space 3} .9719365
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .031072{col 33}{space 2} .0122183{col 44}{space 1}    2.54{col 53}{space 3}0.011{col 61}{space 4} .0071161{col 74}{space 3}  .055028
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0020591{col 33}{space 2} .0010061{col 44}{space 1}    2.05{col 53}{space 3}0.041{col 61}{space 4} .0000865{col 74}{space 3} .0040317
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0190977{col 33}{space 2} .0039973{col 44}{space 1}   -4.78{col 53}{space 3}0.000{col 61}{space 4} -.026935{col 74}{space 3}-.0112604
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0053841{col 33}{space 2} .0054809{col 44}{space 1}    0.98{col 53}{space 3}0.326{col 61}{space 4}-.0053621{col 74}{space 3} .0161304
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0167632{col 33}{space 2} .0215338{col 44}{space 1}   -0.78{col 53}{space 3}0.436{col 61}{space 4}-.0589837{col 74}{space 3} .0254572
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0138239{col 33}{space 2} .0162777{col 44}{space 1}    0.85{col 53}{space 3}0.396{col 61}{space 4}-.0180912{col 74}{space 3}  .045739
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000588{col 33}{space 2} .0005775{col 44}{space 1}   -0.10{col 53}{space 3}0.919{col 61}{space 4} -.001191{col 74}{space 3} .0010734
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0184957{col 33}{space 2} .0114981{col 44}{space 1}    1.61{col 53}{space 3}0.108{col 61}{space 4}-.0040481{col 74}{space 3} .0410395
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0192327{col 33}{space 2} .0184605{col 44}{space 1}   -1.04{col 53}{space 3}0.298{col 61}{space 4}-.0554274{col 74}{space 3} .0169621
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0305492{col 33}{space 2} .0125751{col 44}{space 1}   -2.43{col 53}{space 3}0.015{col 61}{space 4}-.0552047{col 74}{space 3}-.0058938
{txt}{space 19} {c |}
{space 14}dr_ig {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .000886{col 33}{space 2} .0005635{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0002188{col 74}{space 3} .0019908
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2330653{col 33}{space 2} .0657976{col 44}{space 1}    3.54{col 53}{space 3}0.000{col 61}{space 4} .1040584{col 74}{space 3} .3620722
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table8RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.dr_ig,robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 19203.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13215

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9891365{col 33}{space 2} .0036889{col 44}{space 1}  268.14{col 53}{space 3}0.000{col 61}{space 4} .9819038{col 74}{space 3} .9963693
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0030401{col 33}{space 2} .0014532{col 44}{space 1}    2.09{col 53}{space 3}0.037{col 61}{space 4} .0001909{col 74}{space 3} .0058892
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0009971{col 33}{space 2} .0007369{col 44}{space 1}    1.35{col 53}{space 3}0.176{col 61}{space 4}-.0004476{col 74}{space 3} .0024419
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0033273{col 33}{space 2}  .001837{col 44}{space 1}   -1.81{col 53}{space 3}0.070{col 61}{space 4}-.0069291{col 74}{space 3} .0002744
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0009064{col 33}{space 2} .0040902{col 44}{space 1}    0.22{col 53}{space 3}0.825{col 61}{space 4}-.0071131{col 74}{space 3} .0089259
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0218996{col 33}{space 2} .0134858{col 44}{space 1}   -1.62{col 53}{space 3}0.104{col 61}{space 4}-.0483407{col 74}{space 3} .0045414
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0058276{col 33}{space 2} .0090777{col 44}{space 1}    0.64{col 53}{space 3}0.521{col 61}{space 4}-.0119706{col 74}{space 3} .0236259
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002431{col 33}{space 2} .0002116{col 44}{space 1}   -1.15{col 53}{space 3}0.251{col 61}{space 4}-.0006579{col 74}{space 3} .0001718
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0033687{col 33}{space 2} .0085158{col 44}{space 1}    0.40{col 53}{space 3}0.692{col 61}{space 4}-.0133279{col 74}{space 3} .0200653
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0113726{col 33}{space 2} .0094118{col 44}{space 1}   -1.21{col 53}{space 3}0.227{col 61}{space 4}-.0298259{col 74}{space 3} .0070807
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0194538{col 33}{space 2} .0089241{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-.0369509{col 74}{space 3}-.0019567
{txt}{space 19} {c |}
{space 14}dr_ig {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0004941{col 33}{space 2} .0004897{col 44}{space 1}   -1.01{col 53}{space 3}0.313{col 61}{space 4}-.0014541{col 74}{space 3}  .000466
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0784765{col 33}{space 2} .0354363{col 44}{space 1}    2.21{col 53}{space 3}0.027{col 61}{space 4} .0089978{col 74}{space 3} .1479551
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table8RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.dr_ig ,robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 19348.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13217

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9892828{col 33}{space 2} .0036519{col 44}{space 1}  270.90{col 53}{space 3}0.000{col 61}{space 4} .9821227{col 74}{space 3} .9964428
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0171734{col 33}{space 2} .0086681{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0001781{col 74}{space 3} .0341686
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0009727{col 33}{space 2} .0007314{col 44}{space 1}    1.33{col 53}{space 3}0.184{col 61}{space 4}-.0004613{col 74}{space 3} .0024067
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0033591{col 33}{space 2} .0018373{col 44}{space 1}   -1.83{col 53}{space 3}0.068{col 61}{space 4}-.0069614{col 74}{space 3} .0002432
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008644{col 33}{space 2} .0040945{col 44}{space 1}    0.21{col 53}{space 3}0.833{col 61}{space 4}-.0071635{col 74}{space 3} .0088923
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0210034{col 33}{space 2} .0133299{col 44}{space 1}   -1.58{col 53}{space 3}0.115{col 61}{space 4}-.0471388{col 74}{space 3} .0051319
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0059613{col 33}{space 2}  .009088{col 44}{space 1}    0.66{col 53}{space 3}0.512{col 61}{space 4}-.0118572{col 74}{space 3} .0237798
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002301{col 33}{space 2} .0002105{col 44}{space 1}   -1.09{col 53}{space 3}0.274{col 61}{space 4}-.0006429{col 74}{space 3} .0001826
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027057{col 33}{space 2}  .008598{col 44}{space 1}    0.31{col 53}{space 3}0.753{col 61}{space 4}-.0141519{col 74}{space 3} .0195634
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0114954{col 33}{space 2} .0094759{col 44}{space 1}   -1.21{col 53}{space 3}0.225{col 61}{space 4}-.0300745{col 74}{space 3} .0070837
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0194498{col 33}{space 2} .0091102{col 44}{space 1}   -2.13{col 53}{space 3}0.033{col 61}{space 4}-.0373117{col 74}{space 3}-.0015879
{txt}{space 19} {c |}
{space 14}dr_ig {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0004739{col 33}{space 2} .0004849{col 44}{space 1}   -0.98{col 53}{space 3}0.328{col 61}{space 4}-.0014245{col 74}{space 3} .0004768
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .0820718{col 33}{space 2} .0352397{col 44}{space 1}    2.33{col 53}{space 3}0.020{col 61}{space 4} .0129787{col 74}{space 3}  .151165
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table8RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.dr_ig, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(13, 3399)       =  {res} 14242.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res} .23219

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9513389{col 33}{space 2} .0071622{col 44}{space 1}  132.83{col 53}{space 3}0.000{col 61}{space 4} .9372962{col 74}{space 3} .9653815
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0189369{col 33}{space 2} .0057659{col 44}{space 1}    3.28{col 53}{space 3}0.001{col 61}{space 4} .0076319{col 74}{space 3} .0302419
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0034692{col 33}{space 2} .0021117{col 44}{space 1}    1.64{col 53}{space 3}0.101{col 61}{space 4}-.0006711{col 74}{space 3} .0076096
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0010783{col 33}{space 2} .0009604{col 44}{space 1}    1.12{col 53}{space 3}0.262{col 61}{space 4}-.0008047{col 74}{space 3} .0029613
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0199716{col 33}{space 2}  .004018{col 44}{space 1}   -4.97{col 53}{space 3}0.000{col 61}{space 4}-.0278495{col 74}{space 3}-.0120938
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0094536{col 33}{space 2} .0054764{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4}-.0012837{col 74}{space 3} .0201909
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0061609{col 33}{space 2} .0212436{col 44}{space 1}   -0.29{col 53}{space 3}0.772{col 61}{space 4}-.0478124{col 74}{space 3} .0354906
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0119485{col 33}{space 2} .0161166{col 44}{space 1}    0.74{col 53}{space 3}0.459{col 61}{space 4}-.0196508{col 74}{space 3} .0435477
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002707{col 33}{space 2} .0005725{col 44}{space 1}   -0.47{col 53}{space 3}0.636{col 61}{space 4}-.0013932{col 74}{space 3} .0008517
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0194611{col 33}{space 2} .0116222{col 44}{space 1}    1.67{col 53}{space 3}0.094{col 61}{space 4}-.0033261{col 74}{space 3} .0422483
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0217291{col 33}{space 2} .0181595{col 44}{space 1}   -1.20{col 53}{space 3}0.232{col 61}{space 4}-.0573336{col 74}{space 3} .0138755
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0316769{col 33}{space 2} .0122861{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0557657{col 74}{space 3} -.007588
{txt}{space 19} {c |}
{space 14}dr_ig {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007981{col 33}{space 2}  .000562{col 44}{space 1}    1.42{col 53}{space 3}0.156{col 61}{space 4}-.0003038{col 74}{space 3} .0018999
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2111428{col 33}{space 2} .0641522{col 44}{space 1}    3.29{col 53}{space 3}0.001{col 61}{space 4}  .085362{col 74}{space 3} .3369236
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table8RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.dr_ig, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(13, 3399)       =  {res} 14185.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res} .23218

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9512685{col 33}{space 2} .0071662{col 44}{space 1}  132.74{col 53}{space 3}0.000{col 61}{space 4} .9372181{col 74}{space 3} .9653189
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0189267{col 33}{space 2} .0057306{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4}  .007691{col 74}{space 3} .0301624
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0232788{col 33}{space 2} .0127556{col 44}{space 1}    1.82{col 53}{space 3}0.068{col 61}{space 4}-.0017306{col 74}{space 3} .0482883
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0010588{col 33}{space 2} .0009607{col 44}{space 1}    1.10{col 53}{space 3}0.270{col 61}{space 4}-.0008248{col 74}{space 3} .0029423
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.020069{col 33}{space 2} .0040317{col 44}{space 1}   -4.98{col 53}{space 3}0.000{col 61}{space 4}-.0279737{col 74}{space 3}-.0121642
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .009249{col 33}{space 2} .0054616{col 44}{space 1}    1.69{col 53}{space 3}0.090{col 61}{space 4}-.0014594{col 74}{space 3} .0199574
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0058033{col 33}{space 2} .0213067{col 44}{space 1}   -0.27{col 53}{space 3}0.785{col 61}{space 4}-.0475784{col 74}{space 3} .0359719
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0121321{col 33}{space 2} .0161193{col 44}{space 1}    0.75{col 53}{space 3}0.452{col 61}{space 4}-.0194725{col 74}{space 3} .0437366
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002707{col 33}{space 2} .0005761{col 44}{space 1}   -0.47{col 53}{space 3}0.639{col 61}{space 4}-.0014002{col 74}{space 3} .0008589
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0198385{col 33}{space 2} .0114993{col 44}{space 1}    1.73{col 53}{space 3}0.085{col 61}{space 4}-.0027078{col 74}{space 3} .0423848
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0212334{col 33}{space 2} .0182483{col 44}{space 1}   -1.16{col 53}{space 3}0.245{col 61}{space 4}-.0570121{col 74}{space 3} .0145454
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0337383{col 33}{space 2} .0126256{col 44}{space 1}   -2.67{col 53}{space 3}0.008{col 61}{space 4}-.0584928{col 74}{space 3}-.0089837
{txt}{space 19} {c |}
{space 14}dr_ig {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0007994{col 33}{space 2} .0005618{col 44}{space 1}    1.42{col 53}{space 3}0.155{col 61}{space 4}-.0003021{col 74}{space 3} .0019009
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2171366{col 33}{space 2} .0647299{col 44}{space 1}    3.35{col 53}{space 3}0.001{col 61}{space 4} .0902231{col 74}{space 3} .3440501
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table8RR ,  append word se label
. 
. 
. *Table 14: wopol
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.wopol , robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(12, 3347)       =  {res} 13242.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9720
                                                {txt}Root MSE          =    {res}  .2328

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9612155{col 33}{space 2} .0062572{col 44}{space 1}  153.62{col 53}{space 3}0.000{col 61}{space 4} .9489471{col 74}{space 3} .9734838
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0052312{col 33}{space 2} .0020785{col 44}{space 1}    2.52{col 53}{space 3}0.012{col 61}{space 4}  .001156{col 74}{space 3} .0093065
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027946{col 33}{space 2}  .000928{col 44}{space 1}    3.01{col 53}{space 3}0.003{col 61}{space 4} .0009752{col 74}{space 3}  .004614
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017886{col 33}{space 2}  .003772{col 44}{space 1}   -4.74{col 53}{space 3}0.000{col 61}{space 4}-.0252817{col 74}{space 3}-.0104903
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0106549{col 33}{space 2} .0041139{col 44}{space 1}    2.59{col 53}{space 3}0.010{col 61}{space 4} .0025888{col 74}{space 3} .0187209
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0223427{col 33}{space 2} .0218478{col 44}{space 1}   -1.02{col 53}{space 3}0.307{col 61}{space 4}-.0651791{col 74}{space 3} .0204937
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .015966{col 33}{space 2} .0165874{col 44}{space 1}    0.96{col 53}{space 3}0.336{col 61}{space 4}-.0165566{col 74}{space 3} .0484885
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0005828{col 33}{space 2} .0007223{col 44}{space 1}    0.81{col 53}{space 3}0.420{col 61}{space 4}-.0008334{col 74}{space 3} .0019991
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .016766{col 33}{space 2}  .011841{col 44}{space 1}    1.42{col 53}{space 3}0.157{col 61}{space 4}-.0064503{col 74}{space 3} .0399823
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0226313{col 33}{space 2} .0182499{col 44}{space 1}   -1.24{col 53}{space 3}0.215{col 61}{space 4}-.0584134{col 74}{space 3} .0131508
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.028882{col 33}{space 2} .0124003{col 44}{space 1}   -2.33{col 53}{space 3}0.020{col 61}{space 4} -.053195{col 74}{space 3} -.004569
{txt}{space 19} {c |}
{space 14}wopol {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0170933{col 33}{space 2} .0123889{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-.0413839{col 74}{space 3} .0071973
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}   .23655{col 33}{space 2} .0644094{col 44}{space 1}    3.67{col 53}{space 3}0.000{col 61}{space 4} .1102643{col 74}{space 3} .3628358
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table9RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.wopol, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(12, 3347)       =  {res} 13193.69
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9720
                                                {txt}Root MSE          =    {res} .23278

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9611827{col 33}{space 2}  .006255{col 44}{space 1}  153.67{col 53}{space 3}0.000{col 61}{space 4} .9489187{col 74}{space 3} .9734468
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0335172{col 33}{space 2} .0126651{col 44}{space 1}    2.65{col 53}{space 3}0.008{col 61}{space 4}  .008685{col 74}{space 3} .0583493
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027719{col 33}{space 2} .0009255{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4} .0009572{col 74}{space 3} .0045866
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0179878{col 33}{space 2} .0037854{col 44}{space 1}   -4.75{col 53}{space 3}0.000{col 61}{space 4}-.0254097{col 74}{space 3}-.0105659
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0104863{col 33}{space 2} .0040878{col 44}{space 1}    2.57{col 53}{space 3}0.010{col 61}{space 4} .0024714{col 74}{space 3} .0185011
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.021583{col 33}{space 2} .0219329{col 44}{space 1}   -0.98{col 53}{space 3}0.325{col 61}{space 4}-.0645863{col 74}{space 3} .0214203
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0162385{col 33}{space 2} .0165952{col 44}{space 1}    0.98{col 53}{space 3}0.328{col 61}{space 4}-.0162993{col 74}{space 3} .0487763
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0005924{col 33}{space 2} .0007251{col 44}{space 1}    0.82{col 53}{space 3}0.414{col 61}{space 4}-.0008293{col 74}{space 3}  .002014
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0168153{col 33}{space 2} .0117026{col 44}{space 1}    1.44{col 53}{space 3}0.151{col 61}{space 4}-.0061297{col 74}{space 3} .0397602
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0221315{col 33}{space 2} .0183311{col 44}{space 1}   -1.21{col 53}{space 3}0.227{col 61}{space 4}-.0580728{col 74}{space 3} .0138098
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0310619{col 33}{space 2} .0127487{col 44}{space 1}   -2.44{col 53}{space 3}0.015{col 61}{space 4}-.0560579{col 74}{space 3}-.0060658
{txt}{space 19} {c |}
{space 14}wopol {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0170975{col 33}{space 2} .0123989{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-.0414076{col 74}{space 3} .0072126
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2444849{col 33}{space 2} .0654159{col 44}{space 1}    3.74{col 53}{space 3}0.000{col 61}{space 4} .1162257{col 74}{space 3} .3727442
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table9RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.wopol, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(12, 3347)       =  {res} 17125.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9863
                                                {txt}Root MSE          =    {res} .13242

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9883654{col 33}{space 2} .0038908{col 44}{space 1}  254.03{col 53}{space 3}0.000{col 61}{space 4} .9807368{col 74}{space 3} .9959939
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0028038{col 33}{space 2} .0013779{col 44}{space 1}    2.03{col 53}{space 3}0.042{col 61}{space 4} .0001023{col 74}{space 3} .0055054
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0006079{col 33}{space 2} .0005953{col 44}{space 1}    1.02{col 53}{space 3}0.307{col 61}{space 4}-.0005594{col 74}{space 3} .0017751
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0047495{col 33}{space 2} .0016222{col 44}{space 1}   -2.93{col 53}{space 3}0.003{col 61}{space 4}  -.00793{col 74}{space 3}-.0015689
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0027818{col 33}{space 2} .0015865{col 44}{space 1}   -1.75{col 53}{space 3}0.080{col 61}{space 4}-.0058923{col 74}{space 3} .0003287
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0199743{col 33}{space 2} .0131926{col 44}{space 1}   -1.51{col 53}{space 3}0.130{col 61}{space 4}-.0458407{col 74}{space 3} .0058921
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0089478{col 33}{space 2} .0087921{col 44}{space 1}    1.02{col 53}{space 3}0.309{col 61}{space 4}-.0082907{col 74}{space 3} .0261863
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0005116{col 33}{space 2} .0002917{col 44}{space 1}   -1.75{col 53}{space 3}0.080{col 61}{space 4}-.0010835{col 74}{space 3} .0000604
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0058598{col 33}{space 2} .0085708{col 44}{space 1}    0.68{col 53}{space 3}0.494{col 61}{space 4}-.0109448{col 74}{space 3} .0226643
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0133847{col 33}{space 2}  .009861{col 44}{space 1}   -1.36{col 53}{space 3}0.175{col 61}{space 4}-.0327189{col 74}{space 3} .0059495
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0200185{col 33}{space 2} .0089197{col 44}{space 1}   -2.24{col 53}{space 3}0.025{col 61}{space 4} -.037507{col 74}{space 3}-.0025299
{txt}{space 19} {c |}
{space 14}wopol {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .004403{col 33}{space 2} .0069216{col 44}{space 1}    0.64{col 53}{space 3}0.525{col 61}{space 4} -.009168{col 74}{space 3}  .017974
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1024817{col 33}{space 2} .0315619{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0405992{col 74}{space 3} .1643642
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table9RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.wopol, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(12, 3347)       =  {res} 17216.62
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9863
                                                {txt}Root MSE          =    {res} .13244

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9885113{col 33}{space 2} .0038554{col 44}{space 1}  256.39{col 53}{space 3}0.000{col 61}{space 4} .9809521{col 74}{space 3} .9960706
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0159322{col 33}{space 2} .0083228{col 44}{space 1}    1.91{col 53}{space 3}0.056{col 61}{space 4}-.0003861{col 74}{space 3} .0322504
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0005956{col 33}{space 2} .0005938{col 44}{space 1}    1.00{col 53}{space 3}0.316{col 61}{space 4}-.0005685{col 74}{space 3} .0017598
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0047535{col 33}{space 2} .0016266{col 44}{space 1}   -2.92{col 53}{space 3}0.003{col 61}{space 4}-.0079427{col 74}{space 3}-.0015643
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0026819{col 33}{space 2} .0015755{col 44}{space 1}   -1.70{col 53}{space 3}0.089{col 61}{space 4}-.0057709{col 74}{space 3} .0004072
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0192171{col 33}{space 2} .0130802{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-.0448631{col 74}{space 3} .0064288
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0090476{col 33}{space 2} .0088098{col 44}{space 1}    1.03{col 53}{space 3}0.304{col 61}{space 4}-.0082255{col 74}{space 3} .0263207
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0004966{col 33}{space 2}   .00029{col 44}{space 1}   -1.71{col 53}{space 3}0.087{col 61}{space 4}-.0010651{col 74}{space 3}  .000072
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0052052{col 33}{space 2}  .008627{col 44}{space 1}    0.60{col 53}{space 3}0.546{col 61}{space 4}-.0117096{col 74}{space 3}   .02212
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0134465{col 33}{space 2} .0099322{col 44}{space 1}   -1.35{col 53}{space 3}0.176{col 61}{space 4}-.0329204{col 74}{space 3} .0060273
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0200502{col 33}{space 2} .0091136{col 44}{space 1}   -2.20{col 53}{space 3}0.028{col 61}{space 4} -.037919{col 74}{space 3}-.0021815
{txt}{space 19} {c |}
{space 14}wopol {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0044162{col 33}{space 2} .0069217{col 44}{space 1}    0.64{col 53}{space 3}0.524{col 61}{space 4}-.0091551{col 74}{space 3} .0179874
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1051385{col 33}{space 2} .0317124{col 44}{space 1}    3.32{col 53}{space 3}0.001{col 61}{space 4} .0429609{col 74}{space 3} .1673161
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table9RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.wopol, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(13, 3346)       =  {res} 14625.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9722
                                                {txt}Root MSE          =    {res}  .2321

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .951582{col 33}{space 2} .0071107{col 44}{space 1}  133.82{col 53}{space 3}0.000{col 61}{space 4} .9376402{col 74}{space 3} .9655238
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0224782{col 33}{space 2}  .005959{col 44}{space 1}    3.77{col 53}{space 3}0.000{col 61}{space 4} .0107944{col 74}{space 3} .0341619
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0035886{col 33}{space 2} .0021712{col 44}{space 1}    1.65{col 53}{space 3}0.098{col 61}{space 4}-.0006684{col 74}{space 3} .0078457
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0016196{col 33}{space 2} .0008668{col 44}{space 1}    1.87{col 53}{space 3}0.062{col 61}{space 4}-.0000798{col 74}{space 3} .0033191
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0192642{col 33}{space 2} .0038217{col 44}{space 1}   -5.04{col 53}{space 3}0.000{col 61}{space 4}-.0267572{col 74}{space 3}-.0117711
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0142163{col 33}{space 2} .0040796{col 44}{space 1}    3.48{col 53}{space 3}0.000{col 61}{space 4} .0062176{col 74}{space 3} .0222151
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0090066{col 33}{space 2} .0215948{col 44}{space 1}   -0.42{col 53}{space 3}0.677{col 61}{space 4}-.0513468{col 74}{space 3} .0333337
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0148177{col 33}{space 2} .0164335{col 44}{space 1}    0.90{col 53}{space 3}0.367{col 61}{space 4}-.0174032{col 74}{space 3} .0470385
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0004988{col 33}{space 2} .0007167{col 44}{space 1}    0.70{col 53}{space 3}0.486{col 61}{space 4}-.0009064{col 74}{space 3} .0019039
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0180054{col 33}{space 2} .0118485{col 44}{space 1}    1.52{col 53}{space 3}0.129{col 61}{space 4}-.0052257{col 74}{space 3} .0412364
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.026466{col 33}{space 2} .0179215{col 44}{space 1}   -1.48{col 53}{space 3}0.140{col 61}{space 4}-.0616042{col 74}{space 3} .0086721
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0327864{col 33}{space 2} .0124754{col 44}{space 1}   -2.63{col 53}{space 3}0.009{col 61}{space 4}-.0572466{col 74}{space 3}-.0083261
{txt}{space 19} {c |}
{space 14}wopol {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0230586{col 33}{space 2} .0127184{col 44}{space 1}   -1.81{col 53}{space 3}0.070{col 61}{space 4}-.0479953{col 74}{space 3} .0018781
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  .235726{col 33}{space 2} .0639683{col 44}{space 1}    3.69{col 53}{space 3}0.000{col 61}{space 4} .1103051{col 74}{space 3} .3611468
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table9RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.wopol, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(13, 3346)       =  {res} 14578.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9722
                                                {txt}Root MSE          =    {res} .23209

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .951515{col 33}{space 2} .0071144{col 44}{space 1}  133.74{col 53}{space 3}0.000{col 61}{space 4}  .937566{col 74}{space 3}  .965464
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0224741{col 33}{space 2} .0059188{col 44}{space 1}    3.80{col 53}{space 3}0.000{col 61}{space 4} .0108694{col 74}{space 3} .0340789
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0240792{col 33}{space 2} .0131158{col 44}{space 1}    1.84{col 53}{space 3}0.066{col 61}{space 4}-.0016366{col 74}{space 3} .0497951
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0016003{col 33}{space 2} .0008659{col 44}{space 1}    1.85{col 53}{space 3}0.065{col 61}{space 4}-.0000975{col 74}{space 3}  .003298
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0193672{col 33}{space 2} .0038352{col 44}{space 1}   -5.05{col 53}{space 3}0.000{col 61}{space 4}-.0268868{col 74}{space 3}-.0118475
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0140087{col 33}{space 2} .0040467{col 44}{space 1}    3.46{col 53}{space 3}0.001{col 61}{space 4} .0060745{col 74}{space 3} .0219429
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0086335{col 33}{space 2} .0216626{col 44}{space 1}   -0.40{col 53}{space 3}0.690{col 61}{space 4}-.0511068{col 74}{space 3} .0338399
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0150238{col 33}{space 2} .0164386{col 44}{space 1}    0.91{col 53}{space 3}0.361{col 61}{space 4}-.0172069{col 74}{space 3} .0472546
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0004996{col 33}{space 2} .0007192{col 44}{space 1}    0.69{col 53}{space 3}0.487{col 61}{space 4}-.0009105{col 74}{space 3} .0019097
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0184187{col 33}{space 2}  .011711{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0045427{col 74}{space 3} .0413801
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0259544{col 33}{space 2} .0180027{col 44}{space 1}   -1.44{col 53}{space 3}0.149{col 61}{space 4}-.0612519{col 74}{space 3} .0093431
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0349204{col 33}{space 2} .0128321{col 44}{space 1}   -2.72{col 53}{space 3}0.007{col 61}{space 4}-.0600799{col 74}{space 3}-.0097609
{txt}{space 19} {c |}
{space 14}wopol {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  -.02309{col 33}{space 2} .0127245{col 44}{space 1}   -1.81{col 53}{space 3}0.070{col 61}{space 4}-.0480387{col 74}{space 3} .0018586
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2420431{col 33}{space 2} .0648697{col 44}{space 1}    3.73{col 53}{space 3}0.000{col 61}{space 4} .1148549{col 74}{space 3} .3692313
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table9RR ,  append word se label
. 
. *Table 15: add BMP women protest variable
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.totalwomenprotest , robust

{txt}Linear regression                               Number of obs     = {res}     2,846
                                                {txt}F(12, 2833)       =  {res} 12400.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9752
                                                {txt}Root MSE          =    {res} .22232

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9635785{col 33}{space 2} .0066573{col 44}{space 1}  144.74{col 53}{space 3}0.000{col 61}{space 4}  .950525{col 74}{space 3} .9766321
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .006083{col 33}{space 2} .0023121{col 44}{space 1}    2.63{col 53}{space 3}0.009{col 61}{space 4} .0015493{col 74}{space 3} .0106166
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .002446{col 33}{space 2} .0008854{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4}   .00071{col 74}{space 3} .0041821
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0153997{col 33}{space 2} .0042577{col 44}{space 1}   -3.62{col 53}{space 3}0.000{col 61}{space 4}-.0237482{col 74}{space 3}-.0070512
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0084516{col 33}{space 2} .0043668{col 44}{space 1}    1.94{col 53}{space 3}0.053{col 61}{space 4}-.0001107{col 74}{space 3}  .017014
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0204598{col 33}{space 2}  .020363{col 44}{space 1}   -1.00{col 53}{space 3}0.315{col 61}{space 4}-.0603877{col 74}{space 3}  .019468
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0127183{col 33}{space 2} .0166906{col 44}{space 1}    0.76{col 53}{space 3}0.446{col 61}{space 4}-.0200087{col 74}{space 3} .0454453
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0002525{col 33}{space 2} .0006224{col 44}{space 1}    0.41{col 53}{space 3}0.685{col 61}{space 4} -.000968{col 74}{space 3} .0014729
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0247712{col 33}{space 2} .0118327{col 44}{space 1}    2.09{col 53}{space 3}0.036{col 61}{space 4} .0015697{col 74}{space 3} .0479728
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.009238{col 33}{space 2} .0180135{col 44}{space 1}   -0.51{col 53}{space 3}0.608{col 61}{space 4}-.0445588{col 74}{space 3} .0260828
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0348341{col 33}{space 2} .0140197{col 44}{space 1}   -2.48{col 53}{space 3}0.013{col 61}{space 4} -.062324{col 74}{space 3}-.0073442
{txt}{space 19} {c |}
{space 2}totalwomenprotest {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0011609{col 33}{space 2} .0006736{col 44}{space 1}   -1.72{col 53}{space 3}0.085{col 61}{space 4}-.0024817{col 74}{space 3} .0001598
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1827581{col 33}{space 2} .0702064{col 44}{space 1}    2.60{col 53}{space 3}0.009{col 61}{space 4} .0450973{col 74}{space 3}  .320419
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table10RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.totalwomenprotest, robust

{txt}Linear regression                               Number of obs     = {res}     2,846
                                                {txt}F(12, 2833)       =  {res} 12392.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9752
                                                {txt}Root MSE          =    {res} .22229

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9634577{col 33}{space 2}  .006655{col 44}{space 1}  144.77{col 53}{space 3}0.000{col 61}{space 4} .9504086{col 74}{space 3} .9765068
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0397806{col 33}{space 2} .0144141{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .0115174{col 74}{space 3} .0680438
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0024318{col 33}{space 2} .0008846{col 44}{space 1}    2.75{col 53}{space 3}0.006{col 61}{space 4} .0006973{col 74}{space 3} .0041662
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0155304{col 33}{space 2} .0042704{col 44}{space 1}   -3.64{col 53}{space 3}0.000{col 61}{space 4}-.0239038{col 74}{space 3}-.0071571
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0082099{col 33}{space 2} .0043321{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0002845{col 74}{space 3} .0167043
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0196474{col 33}{space 2} .0203955{col 44}{space 1}   -0.96{col 53}{space 3}0.335{col 61}{space 4} -.059639{col 74}{space 3} .0203441
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0130309{col 33}{space 2} .0166937{col 44}{space 1}    0.78{col 53}{space 3}0.435{col 61}{space 4}-.0197022{col 74}{space 3}  .045764
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0002592{col 33}{space 2}  .000628{col 44}{space 1}    0.41{col 53}{space 3}0.680{col 61}{space 4}-.0009721{col 74}{space 3} .0014906
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}    .0252{col 33}{space 2} .0118003{col 44}{space 1}    2.14{col 53}{space 3}0.033{col 61}{space 4}  .002062{col 74}{space 3}  .048338
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0084614{col 33}{space 2} .0181393{col 44}{space 1}   -0.47{col 53}{space 3}0.641{col 61}{space 4} -.044029{col 74}{space 3} .0271063
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0377474{col 33}{space 2} .0145117{col 44}{space 1}   -2.60{col 53}{space 3}0.009{col 61}{space 4} -.066202{col 74}{space 3}-.0092929
{txt}{space 19} {c |}
{space 2}totalwomenprotest {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.001179{col 33}{space 2} .0006759{col 44}{space 1}   -1.74{col 53}{space 3}0.081{col 61}{space 4}-.0025043{col 74}{space 3} .0001462
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1920941{col 33}{space 2} .0710813{col 44}{space 1}    2.70{col 53}{space 3}0.007{col 61}{space 4} .0527178{col 74}{space 3} .3314704
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table10RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.totalwomenprotest, robust

{txt}Linear regression                               Number of obs     = {res}     2,846
                                                {txt}F(12, 2833)       =  {res} 14343.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9868
                                                {txt}Root MSE          =    {res} .13249

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9883284{col 33}{space 2} .0042866{col 44}{space 1}  230.56{col 53}{space 3}0.000{col 61}{space 4} .9799234{col 74}{space 3} .9967335
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025916{col 33}{space 2} .0015336{col 44}{space 1}    1.69{col 53}{space 3}0.091{col 61}{space 4}-.0004155{col 74}{space 3} .0055988
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008975{col 33}{space 2}  .000636{col 44}{space 1}    1.41{col 53}{space 3}0.158{col 61}{space 4}-.0003496{col 74}{space 3} .0021445
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.006015{col 33}{space 2} .0017401{col 44}{space 1}   -3.46{col 53}{space 3}0.001{col 61}{space 4}-.0094269{col 74}{space 3} -.002603
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.004069{col 33}{space 2} .0017806{col 44}{space 1}   -2.29{col 53}{space 3}0.022{col 61}{space 4}-.0075605{col 74}{space 3}-.0005776
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0318937{col 33}{space 2} .0159587{col 44}{space 1}   -2.00{col 53}{space 3}0.046{col 61}{space 4}-.0631855{col 74}{space 3}-.0006019
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0096604{col 33}{space 2} .0090186{col 44}{space 1}    1.07{col 53}{space 3}0.284{col 61}{space 4}-.0080232{col 74}{space 3}  .027344
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000306{col 33}{space 2} .0002126{col 44}{space 1}   -0.14{col 53}{space 3}0.885{col 61}{space 4}-.0004474{col 74}{space 3} .0003862
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0090589{col 33}{space 2} .0095269{col 44}{space 1}    0.95{col 53}{space 3}0.342{col 61}{space 4}-.0096215{col 74}{space 3} .0277393
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0049744{col 33}{space 2}  .010186{col 44}{space 1}   -0.49{col 53}{space 3}0.625{col 61}{space 4}-.0249472{col 74}{space 3} .0149983
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.014714{col 33}{space 2} .0097776{col 44}{space 1}   -1.50{col 53}{space 3}0.132{col 61}{space 4}-.0338859{col 74}{space 3}  .004458
{txt}{space 19} {c |}
{space 2}totalwomenprotest {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008859{col 33}{space 2} .0003582{col 44}{space 1}    2.47{col 53}{space 3}0.013{col 61}{space 4} .0001836{col 74}{space 3} .0015883
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  .131338{col 33}{space 2} .0336372{col 44}{space 1}    3.90{col 53}{space 3}0.000{col 61}{space 4} .0653821{col 74}{space 3} .1972939
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table10RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.totalwomenprotest, robust

{txt}Linear regression                               Number of obs     = {res}     2,846
                                                {txt}F(12, 2833)       =  {res} 14426.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9868
                                                {txt}Root MSE          =    {res}  .1325

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9884028{col 33}{space 2} .0042531{col 44}{space 1}  232.39{col 53}{space 3}0.000{col 61}{space 4} .9800633{col 74}{space 3} .9967424
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0152942{col 33}{space 2} .0093296{col 44}{space 1}    1.64{col 53}{space 3}0.101{col 61}{space 4}-.0029994{col 74}{space 3} .0335877
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008898{col 33}{space 2} .0006342{col 44}{space 1}    1.40{col 53}{space 3}0.161{col 61}{space 4}-.0003538{col 74}{space 3} .0021335
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0060233{col 33}{space 2} .0017447{col 44}{space 1}   -3.45{col 53}{space 3}0.001{col 61}{space 4}-.0094444{col 74}{space 3}-.0026022
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0040352{col 33}{space 2} .0017771{col 44}{space 1}   -2.27{col 53}{space 3}0.023{col 61}{space 4}-.0075198{col 74}{space 3}-.0005505
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0313484{col 33}{space 2} .0158613{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4}-.0624493{col 74}{space 3}-.0002475
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0097612{col 33}{space 2} .0090427{col 44}{space 1}    1.08{col 53}{space 3}0.280{col 61}{space 4}-.0079697{col 74}{space 3} .0274921
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000183{col 33}{space 2}  .000208{col 44}{space 1}   -0.09{col 53}{space 3}0.930{col 61}{space 4}-.0004262{col 74}{space 3} .0003896
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0086747{col 33}{space 2} .0096088{col 44}{space 1}    0.90{col 53}{space 3}0.367{col 61}{space 4}-.0101663{col 74}{space 3} .0275157
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0049482{col 33}{space 2} .0102875{col 44}{space 1}   -0.48{col 53}{space 3}0.631{col 61}{space 4}-.0251199{col 74}{space 3} .0152235
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0150065{col 33}{space 2} .0100071{col 44}{space 1}   -1.50{col 53}{space 3}0.134{col 61}{space 4}-.0346284{col 74}{space 3} .0046154
{txt}{space 19} {c |}
{space 2}totalwomenprotest {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0008854{col 33}{space 2} .0003589{col 44}{space 1}    2.47{col 53}{space 3}0.014{col 61}{space 4} .0001817{col 74}{space 3} .0015891
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1341039{col 33}{space 2} .0340515{col 44}{space 1}    3.94{col 53}{space 3}0.000{col 61}{space 4} .0673357{col 74}{space 3} .2008721
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table10RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.totalwomenprotest, robust

{txt}Linear regression                               Number of obs     = {res}     2,846
                                                {txt}F(13, 2832)       =  {res} 13630.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9753
                                                {txt}Root MSE          =    {res} .22175

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .954851{col 33}{space 2}  .007284{col 44}{space 1}  131.09{col 53}{space 3}0.000{col 61}{space 4} .9405686{col 74}{space 3} .9691334
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0196808{col 33}{space 2} .0057082{col 44}{space 1}    3.45{col 53}{space 3}0.001{col 61}{space 4} .0084881{col 74}{space 3} .0308734
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0045965{col 33}{space 2}  .002442{col 44}{space 1}    1.88{col 53}{space 3}0.060{col 61}{space 4}-.0001918{col 74}{space 3} .0093848
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014216{col 33}{space 2} .0008684{col 44}{space 1}    1.64{col 53}{space 3}0.102{col 61}{space 4}-.0002812{col 74}{space 3} .0031243
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0166371{col 33}{space 2} .0042635{col 44}{space 1}   -3.90{col 53}{space 3}0.000{col 61}{space 4}-.0249969{col 74}{space 3}-.0082772
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118367{col 33}{space 2} .0043266{col 44}{space 1}    2.74{col 53}{space 3}0.006{col 61}{space 4} .0033532{col 74}{space 3} .0203203
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0113533{col 33}{space 2} .0203699{col 44}{space 1}   -0.56{col 53}{space 3}0.577{col 61}{space 4}-.0512946{col 74}{space 3}  .028588
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0107467{col 33}{space 2} .0165845{col 44}{space 1}    0.65{col 53}{space 3}0.517{col 61}{space 4}-.0217721{col 74}{space 3} .0432656
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000149{col 33}{space 2}  .000619{col 44}{space 1}   -0.02{col 53}{space 3}0.981{col 61}{space 4}-.0012288{col 74}{space 3} .0011989
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0267718{col 33}{space 2} .0117653{col 44}{space 1}    2.28{col 53}{space 3}0.023{col 61}{space 4} .0037024{col 74}{space 3} .0498411
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0100071{col 33}{space 2} .0178941{col 44}{space 1}   -0.56{col 53}{space 3}0.576{col 61}{space 4}-.0450938{col 74}{space 3} .0250796
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0384425{col 33}{space 2}  .014005{col 44}{space 1}   -2.74{col 53}{space 3}0.006{col 61}{space 4}-.0659035{col 74}{space 3}-.0109816
{txt}{space 19} {c |}
{space 2}totalwomenprotest {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0010127{col 33}{space 2} .0006752{col 44}{space 1}   -1.50{col 53}{space 3}0.134{col 61}{space 4}-.0023366{col 74}{space 3} .0003112
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1716129{col 33}{space 2} .0697411{col 44}{space 1}    2.46{col 53}{space 3}0.014{col 61}{space 4} .0348644{col 74}{space 3} .3083614
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table10RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7 l.totalwomenprotest, robust

{txt}Linear regression                               Number of obs     = {res}     2,846
                                                {txt}F(13, 2832)       =  {res} 13631.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9753
                                                {txt}Root MSE          =    {res} .22172

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9547438{col 33}{space 2} .0072835{col 44}{space 1}  131.08{col 53}{space 3}0.000{col 61}{space 4} .9404623{col 74}{space 3} .9690252
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0196237{col 33}{space 2} .0056915{col 44}{space 1}    3.45{col 53}{space 3}0.001{col 61}{space 4} .0084637{col 74}{space 3} .0307836
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0309412{col 33}{space 2} .0151687{col 44}{space 1}    2.04{col 53}{space 3}0.041{col 61}{space 4} .0011985{col 74}{space 3}  .060684
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0014124{col 33}{space 2} .0008681{col 44}{space 1}    1.63{col 53}{space 3}0.104{col 61}{space 4}-.0002898{col 74}{space 3} .0031146
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0167588{col 33}{space 2} .0042752{col 44}{space 1}   -3.92{col 53}{space 3}0.000{col 61}{space 4}-.0251415{col 74}{space 3} -.008376
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0115773{col 33}{space 2}  .004291{col 44}{space 1}    2.70{col 53}{space 3}0.007{col 61}{space 4} .0031635{col 74}{space 3} .0199912
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0108537{col 33}{space 2} .0203831{col 44}{space 1}   -0.53{col 53}{space 3}0.594{col 61}{space 4}-.0508209{col 74}{space 3} .0291134
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0110051{col 33}{space 2} .0165868{col 44}{space 1}    0.66{col 53}{space 3}0.507{col 61}{space 4}-.0215184{col 74}{space 3} .0435285
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0000146{col 33}{space 2} .0006242{col 44}{space 1}   -0.02{col 53}{space 3}0.981{col 61}{space 4}-.0012387{col 74}{space 3} .0012094
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0273946{col 33}{space 2} .0117251{col 44}{space 1}    2.34{col 53}{space 3}0.020{col 61}{space 4}  .004404{col 74}{space 3} .0503851
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0092592{col 33}{space 2} .0180181{col 44}{space 1}   -0.51{col 53}{space 3}0.607{col 61}{space 4}-.0445891{col 74}{space 3} .0260708
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0411422{col 33}{space 2} .0144868{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4} -.069548{col 74}{space 3}-.0127363
{txt}{space 19} {c |}
{space 2}totalwomenprotest {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0010303{col 33}{space 2} .0006773{col 44}{space 1}   -1.52{col 53}{space 3}0.128{col 61}{space 4}-.0023583{col 74}{space 3} .0002976
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .1793142{col 33}{space 2}   .07062{col 44}{space 1}    2.54{col 53}{space 3}0.011{col 61}{space 4} .0408424{col 74}{space 3}  .317786
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table10RR ,  append word se label
. 
. 
. *Table 16: without independent variables lagged one year
. *Table 1: Dynamic Model - Abortion Rights and Reduction of social group civil liberties and abortion rights and reduction of human rights 
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  cai_cai1   polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,412
                                                {txt}F(11, 3400)       =  {res} 12959.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9735
                                                {txt}Root MSE          =    {res} .22616

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9387882{col 33}{space 2} .0068578{col 44}{space 1}  136.89{col 53}{space 3}0.000{col 61}{space 4} .9253424{col 74}{space 3}  .952234
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}{col 21}{res}{space 2}  .003897{col 33}{space 2} .0020526{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0001275{col 74}{space 3} .0079215
{txt}{space 12}polity2 {c |}{col 21}{res}{space 2} .0044458{col 33}{space 2} .0009906{col 44}{space 1}    4.49{col 53}{space 3}0.000{col 61}{space 4} .0025035{col 74}{space 3} .0063881
{txt}{space 10}lnwdi_pop {c |}{col 21}{res}{space 2}-.0186405{col 33}{space 2} .0034338{col 44}{space 1}   -5.43{col 53}{space 3}0.000{col 61}{space 4} -.025373{col 74}{space 3} -.011908
{txt}lnwdi_gdpcapcon2010 {c |}{col 21}{res}{space 2} .0152171{col 33}{space 2} .0036526{col 44}{space 1}    4.17{col 53}{space 3}0.000{col 61}{space 4} .0080556{col 74}{space 3} .0223785
{txt}{space 7}intllocation {c |}{col 21}{res}{space 2} .0100056{col 33}{space 2} .0258978{col 44}{space 1}    0.39{col 53}{space 3}0.699{col 61}{space 4}-.0407713{col 74}{space 3} .0607824
{txt}{space 6}civillocation {c |}{col 21}{res}{space 2}-.1139617{col 33}{space 2} .0182363{col 44}{space 1}   -6.25{col 53}{space 3}0.000{col 61}{space 4}-.1497168{col 74}{space 3}-.0782065
{txt}{space 9}v2lgfemleg {c |}{col 21}{res}{space 2} .0007562{col 33}{space 2} .0005064{col 44}{space 1}    1.49{col 53}{space 3}0.135{col 61}{space 4}-.0002368{col 74}{space 3} .0017491
{txt}{space 5}iarda_chcatpct {c |}{col 21}{res}{space 2} .0087907{col 33}{space 2} .0122255{col 44}{space 1}    0.72{col 53}{space 3}0.472{col 61}{space 4}-.0151793{col 74}{space 3} .0327608
{txt}{space 5}iarda_isgenpct {c |}{col 21}{res}{space 2} .0060164{col 33}{space 2} .0175884{col 44}{space 1}    0.34{col 53}{space 3}0.732{col 61}{space 4}-.0284685{col 74}{space 3} .0405012
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0284551{col 33}{space 2} .0126764{col 44}{space 1}   -2.24{col 53}{space 3}0.025{col 61}{space 4}-.0533092{col 74}{space 3} -.003601
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .200024{col 33}{space 2} .0569719{col 44}{space 1}    3.51{col 53}{space 3}0.000{col 61}{space 4} .0883214{col 74}{space 3} .3117266
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table22RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  cai_cai2   polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,412
                                                {txt}F(11, 3400)       =  {res} 12982.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9735
                                                {txt}Root MSE          =    {res} .22616

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9387738{col 33}{space 2} .0068571{col 44}{space 1}  136.91{col 53}{space 3}0.000{col 61}{space 4} .9253293{col 74}{space 3} .9522183
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}{col 21}{res}{space 2} .0247875{col 33}{space 2} .0127244{col 44}{space 1}    1.95{col 53}{space 3}0.051{col 61}{space 4}-.0001608{col 74}{space 3} .0497357
{txt}{space 12}polity2 {c |}{col 21}{res}{space 2}  .004429{col 33}{space 2} .0009899{col 44}{space 1}    4.47{col 53}{space 3}0.000{col 61}{space 4} .0024881{col 74}{space 3} .0063699
{txt}{space 10}lnwdi_pop {c |}{col 21}{res}{space 2}-.0187028{col 33}{space 2} .0034461{col 44}{space 1}   -5.43{col 53}{space 3}0.000{col 61}{space 4}-.0254594{col 74}{space 3}-.0119463
{txt}lnwdi_gdpcapcon2010 {c |}{col 21}{res}{space 2} .0151077{col 33}{space 2} .0036147{col 44}{space 1}    4.18{col 53}{space 3}0.000{col 61}{space 4} .0080206{col 74}{space 3} .0221948
{txt}{space 7}intllocation {c |}{col 21}{res}{space 2} .0105906{col 33}{space 2} .0259218{col 44}{space 1}    0.41{col 53}{space 3}0.683{col 61}{space 4}-.0402333{col 74}{space 3} .0614145
{txt}{space 6}civillocation {c |}{col 21}{res}{space 2}-.1137715{col 33}{space 2} .0182245{col 44}{space 1}   -6.24{col 53}{space 3}0.000{col 61}{space 4}-.1495035{col 74}{space 3}-.0780394
{txt}{space 9}v2lgfemleg {c |}{col 21}{res}{space 2} .0007646{col 33}{space 2} .0005112{col 44}{space 1}    1.50{col 53}{space 3}0.135{col 61}{space 4}-.0002376{col 74}{space 3} .0017668
{txt}{space 5}iarda_chcatpct {c |}{col 21}{res}{space 2} .0087671{col 33}{space 2} .0121938{col 44}{space 1}    0.72{col 53}{space 3}0.472{col 61}{space 4}-.0151409{col 74}{space 3}  .032675
{txt}{space 5}iarda_isgenpct {c |}{col 21}{res}{space 2} .0063643{col 33}{space 2} .0176648{col 44}{space 1}    0.36{col 53}{space 3}0.719{col 61}{space 4}-.0282704{col 74}{space 3}  .040999
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0299648{col 33}{space 2} .0130393{col 44}{space 1}   -2.30{col 53}{space 3}0.022{col 61}{space 4}-.0555304{col 74}{space 3}-.0043991
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .2056466{col 33}{space 2}   .05756{col 44}{space 1}    3.57{col 53}{space 3}0.000{col 61}{space 4} .0927908{col 74}{space 3} .3185024
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table22RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   cai_cai1    polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,411
                                                {txt}F(11, 3399)       =  {res} 21395.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9872
                                                {txt}Root MSE          =    {res} .12843

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9862653{col 33}{space 2} .0042244{col 44}{space 1}  233.47{col 53}{space 3}0.000{col 61}{space 4} .9779827{col 74}{space 3} .9945479
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}{col 21}{res}{space 2} .0022758{col 33}{space 2} .0012659{col 44}{space 1}    1.80{col 53}{space 3}0.072{col 61}{space 4}-.0002062{col 74}{space 3} .0047579
{txt}{space 12}polity2 {c |}{col 21}{res}{space 2} .0017671{col 33}{space 2} .0005897{col 44}{space 1}    3.00{col 53}{space 3}0.003{col 61}{space 4} .0006109{col 74}{space 3} .0029234
{txt}{space 10}lnwdi_pop {c |}{col 21}{res}{space 2}-.0054709{col 33}{space 2} .0014267{col 44}{space 1}   -3.83{col 53}{space 3}0.000{col 61}{space 4}-.0082681{col 74}{space 3}-.0026736
{txt}lnwdi_gdpcapcon2010 {c |}{col 21}{res}{space 2}-.0048638{col 33}{space 2} .0016468{col 44}{space 1}   -2.95{col 53}{space 3}0.003{col 61}{space 4}-.0080926{col 74}{space 3}-.0016351
{txt}{space 7}intllocation {c |}{col 21}{res}{space 2}-.0197348{col 33}{space 2} .0130945{col 44}{space 1}   -1.51{col 53}{space 3}0.132{col 61}{space 4}-.0454086{col 74}{space 3}  .005939
{txt}{space 6}civillocation {c |}{col 21}{res}{space 2}-.0004229{col 33}{space 2} .0079448{col 44}{space 1}   -0.05{col 53}{space 3}0.958{col 61}{space 4}-.0159999{col 74}{space 3} .0151542
{txt}{space 9}v2lgfemleg {c |}{col 21}{res}{space 2} .0001054{col 33}{space 2} .0002198{col 44}{space 1}    0.48{col 53}{space 3}0.632{col 61}{space 4}-.0003256{col 74}{space 3} .0005363
{txt}{space 5}iarda_chcatpct {c |}{col 21}{res}{space 2} .0015984{col 33}{space 2} .0086115{col 44}{space 1}    0.19{col 53}{space 3}0.853{col 61}{space 4}-.0152859{col 74}{space 3} .0184827
{txt}{space 5}iarda_isgenpct {c |}{col 21}{res}{space 2}-.0059152{col 33}{space 2} .0085134{col 44}{space 1}   -0.69{col 53}{space 3}0.487{col 61}{space 4}-.0226072{col 74}{space 3} .0107767
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0151969{col 33}{space 2} .0090973{col 44}{space 1}   -1.67{col 53}{space 3}0.095{col 61}{space 4}-.0330336{col 74}{space 3} .0026398
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1331972{col 33}{space 2} .0278571{col 44}{space 1}    4.78{col 53}{space 3}0.000{col 61}{space 4} .0785789{col 74}{space 3} .1878156
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table22RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   cai_cai2    polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,411
                                                {txt}F(11, 3399)       =  {res} 21381.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9872
                                                {txt}Root MSE          =    {res} .12844

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9863985{col 33}{space 2} .0041929{col 44}{space 1}  235.25{col 53}{space 3}0.000{col 61}{space 4} .9781776{col 74}{space 3} .9946194
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}{col 21}{res}{space 2} .0126339{col 33}{space 2} .0077805{col 44}{space 1}    1.62{col 53}{space 3}0.105{col 61}{space 4} -.002621{col 74}{space 3} .0278889
{txt}{space 12}polity2 {c |}{col 21}{res}{space 2}  .001758{col 33}{space 2} .0005883{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4} .0006045{col 74}{space 3} .0029115
{txt}{space 10}lnwdi_pop {c |}{col 21}{res}{space 2}-.0054641{col 33}{space 2} .0014325{col 44}{space 1}   -3.81{col 53}{space 3}0.000{col 61}{space 4}-.0082729{col 74}{space 3}-.0026554
{txt}lnwdi_gdpcapcon2010 {c |}{col 21}{res}{space 2}-.0047555{col 33}{space 2} .0016419{col 44}{space 1}   -2.90{col 53}{space 3}0.004{col 61}{space 4}-.0079747{col 74}{space 3}-.0015363
{txt}{space 7}intllocation {c |}{col 21}{res}{space 2}-.0190698{col 33}{space 2} .0130161{col 44}{space 1}   -1.47{col 53}{space 3}0.143{col 61}{space 4}  -.04459{col 74}{space 3} .0064504
{txt}{space 6}civillocation {c |}{col 21}{res}{space 2}-.0003636{col 33}{space 2} .0079553{col 44}{space 1}   -0.05{col 53}{space 3}0.964{col 61}{space 4}-.0159613{col 74}{space 3} .0152341
{txt}{space 9}v2lgfemleg {c |}{col 21}{res}{space 2} .0001198{col 33}{space 2} .0002209{col 44}{space 1}    0.54{col 53}{space 3}0.588{col 61}{space 4}-.0003134{col 74}{space 3}  .000553
{txt}{space 5}iarda_chcatpct {c |}{col 21}{res}{space 2} .0010007{col 33}{space 2} .0086723{col 44}{space 1}    0.12{col 53}{space 3}0.908{col 61}{space 4}-.0160027{col 74}{space 3} .0180042
{txt}{space 5}iarda_isgenpct {c |}{col 21}{res}{space 2}-.0060037{col 33}{space 2} .0085613{col 44}{space 1}   -0.70{col 53}{space 3}0.483{col 61}{space 4}-.0227895{col 74}{space 3} .0107821
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0150429{col 33}{space 2} .0093067{col 44}{space 1}   -1.62{col 53}{space 3}0.106{col 61}{space 4}-.0332901{col 74}{space 3} .0032043
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1350882{col 33}{space 2}  .028337{col 44}{space 1}    4.77{col 53}{space 3}0.000{col 61}{space 4} .0795289{col 74}{space 3} .1906475
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table22RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  v2clsocgrp  cai_cai1   polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,412
                                                {txt}F(12, 3399)       =  {res} 13714.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9736
                                                {txt}Root MSE          =    {res} .22553

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .929801{col 33}{space 2} .0078168{col 44}{space 1}  118.95{col 53}{space 3}0.000{col 61}{space 4} .9144748{col 74}{space 3} .9451272
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}{col 21}{res}{space 2} .0210245{col 33}{space 2} .0057144{col 44}{space 1}    3.68{col 53}{space 3}0.000{col 61}{space 4} .0098206{col 74}{space 3} .0322284
{txt}{space 11}cai_cai1 {c |}{col 21}{res}{space 2} .0023219{col 33}{space 2} .0021578{col 44}{space 1}    1.08{col 53}{space 3}0.282{col 61}{space 4}-.0019088{col 74}{space 3} .0065526
{txt}{space 12}polity2 {c |}{col 21}{res}{space 2} .0032595{col 33}{space 2} .0009094{col 44}{space 1}    3.58{col 53}{space 3}0.000{col 61}{space 4} .0014764{col 74}{space 3} .0050426
{txt}{space 10}lnwdi_pop {c |}{col 21}{res}{space 2}-.0198392{col 33}{space 2} .0034651{col 44}{space 1}   -5.73{col 53}{space 3}0.000{col 61}{space 4} -.026633{col 74}{space 3}-.0130454
{txt}lnwdi_gdpcapcon2010 {c |}{col 21}{res}{space 2}  .018839{col 33}{space 2} .0036402{col 44}{space 1}    5.18{col 53}{space 3}0.000{col 61}{space 4} .0117018{col 74}{space 3} .0259762
{txt}{space 7}intllocation {c |}{col 21}{res}{space 2} .0229018{col 33}{space 2}  .025537{col 44}{space 1}    0.90{col 53}{space 3}0.370{col 61}{space 4}-.0271678{col 74}{space 3} .0729713
{txt}{space 6}civillocation {c |}{col 21}{res}{space 2}-.1149174{col 33}{space 2} .0182143{col 44}{space 1}   -6.31{col 53}{space 3}0.000{col 61}{space 4}-.1506295{col 74}{space 3}-.0792053
{txt}{space 9}v2lgfemleg {c |}{col 21}{res}{space 2}  .000511{col 33}{space 2}  .000505{col 44}{space 1}    1.01{col 53}{space 3}0.312{col 61}{space 4} -.000479{col 74}{space 3}  .001501
{txt}{space 5}iarda_chcatpct {c |}{col 21}{res}{space 2} .0098738{col 33}{space 2} .0121969{col 44}{space 1}    0.81{col 53}{space 3}0.418{col 61}{space 4}-.0140401{col 74}{space 3} .0337878
{txt}{space 5}iarda_isgenpct {c |}{col 21}{res}{space 2} .0035244{col 33}{space 2} .0173695{col 44}{space 1}    0.20{col 53}{space 3}0.839{col 61}{space 4}-.0305312{col 74}{space 3} .0375801
{txt}{space 15}GEO7 {c |}{col 21}{res}{space 2}-.0318166{col 33}{space 2} .0126622{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4}-.0566429{col 74}{space 3}-.0069903
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1866305{col 33}{space 2} .0560889{col 44}{space 1}    3.33{col 53}{space 3}0.001{col 61}{space 4} .0766591{col 74}{space 3} .2966018
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table22RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  v2clsocgrp  cai_cai2   polity2 lnwdi_pop lnwdi_gdpcapcon2010 intllocation civillocation v2lgfemleg  iarda_chcatpct  iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,412
                                                {txt}F(12, 3399)       =  {res} 13743.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9736
                                                {txt}Root MSE          =    {res} .22552

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9297581{col 33}{space 2} .0078208{col 44}{space 1}  118.88{col 53}{space 3}0.000{col 61}{space 4} .9144241{col 74}{space 3} .9450921
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}{col 21}{res}{space 2} .0210122{col 33}{space 2} .0056895{col 44}{space 1}    3.69{col 53}{space 3}0.000{col 61}{space 4} .0098571{col 74}{space 3} .0321674
{txt}{space 11}cai_cai2 {c |}{col 21}{res}{space 2} .0156621{col 33}{space 2} .0133065{col 44}{space 1}    1.18{col 53}{space 3}0.239{col 61}{space 4}-.0104274{col 74}{space 3} .0417516
{txt}{space 12}polity2 {c |}{col 21}{res}{space 2} .0032466{col 33}{space 2} .0009096{col 44}{space 1}    3.57{col 53}{space 3}0.000{col 61}{space 4} .0014631{col 74}{space 3} .0050301
{txt}{space 10}lnwdi_pop {c |}{col 21}{res}{space 2}-.0199034{col 33}{space 2} .0034771{col 44}{space 1}   -5.72{col 53}{space 3}0.000{col 61}{space 4}-.0267209{col 74}{space 3}-.0130859
{txt}lnwdi_gdpcapcon2010 {c |}{col 21}{res}{space 2} .0186998{col 33}{space 2} .0036011{col 44}{space 1}    5.19{col 53}{space 3}0.000{col 61}{space 4} .0116392{col 74}{space 3} .0257603
{txt}{space 7}intllocation {c |}{col 21}{res}{space 2} .0231229{col 33}{space 2} .0255389{col 44}{space 1}    0.91{col 53}{space 3}0.365{col 61}{space 4}-.0269502{col 74}{space 3}  .073196
{txt}{space 6}civillocation {c |}{col 21}{res}{space 2}-.1147873{col 33}{space 2} .0182043{col 44}{space 1}   -6.31{col 53}{space 3}0.000{col 61}{space 4}-.1504798{col 74}{space 3}-.0790947
{txt}{space 9}v2lgfemleg {c |}{col 21}{res}{space 2} .0005107{col 33}{space 2} .0005095{col 44}{space 1}    1.00{col 53}{space 3}0.316{col 61}{space 4}-.0004881{col 74}{space 3} .0015096
{txt}{space 5}iarda_chcatpct {c |}{col 21}{res}{space 2} .0101512{col 33}{space 2} .0121563{col 44}{space 1}    0.84{col 53}{space 3}0.404{col 61}{space 4}-.0136832{col 74}{space 3} .0339856
{txt}{space 5}iarda_isgenpct {c |}{col 21}{res}{space 2}  .003871{col 33}{space 2} .0174475{col 44}{space 1}    0.22{col 53}{space 3}0.824{col 61}{space 4}-.0303377{col 74}{space 3} .0380798
{txt}{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0332404{col 33}{space 2} .0130238{col 44}{space 1}   -2.55{col 53}{space 3}0.011{col 61}{space 4}-.0587757{col 74}{space 3}-.0077051
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1906554{col 33}{space 2} .0566378{col 44}{space 1}    3.37{col 53}{space 3}0.001{col 61}{space 4} .0796078{col 74}{space 3} .3017029
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table22RR ,  append word se label
. 
. 
. *Table 17: without the controls for catholic and islam 
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg   i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(9, 3403)        =  {res} 16639.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23281

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9590925{col 33}{space 2} .0061789{col 44}{space 1}  155.22{col 53}{space 3}0.000{col 61}{space 4} .9469778{col 74}{space 3} .9712072
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0046369{col 33}{space 2} .0019134{col 44}{space 1}    2.42{col 53}{space 3}0.015{col 61}{space 4} .0008853{col 74}{space 3} .0083885
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0033464{col 33}{space 2} .0007645{col 44}{space 1}    4.38{col 53}{space 3}0.000{col 61}{space 4} .0018476{col 74}{space 3} .0048453
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0180278{col 33}{space 2} .0036036{col 44}{space 1}   -5.00{col 53}{space 3}0.000{col 61}{space 4}-.0250933{col 74}{space 3}-.0109623
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0130237{col 33}{space 2} .0040022{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0051767{col 74}{space 3} .0208706
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0243583{col 33}{space 2} .0210555{col 44}{space 1}   -1.16{col 53}{space 3}0.247{col 61}{space 4} -.065641{col 74}{space 3} .0169243
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0094755{col 33}{space 2} .0162871{col 44}{space 1}    0.58{col 53}{space 3}0.561{col 61}{space 4} -.022458{col 74}{space 3} .0414091
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003209{col 33}{space 2} .0005816{col 44}{space 1}    0.55{col 53}{space 3}0.581{col 61}{space 4}-.0008194{col 74}{space 3} .0014613
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0295098{col 33}{space 2} .0121945{col 44}{space 1}   -2.42{col 53}{space 3}0.016{col 61}{space 4}-.0534191{col 74}{space 3}-.0056006
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1897368{col 33}{space 2} .0573645{col 44}{space 1}    3.31{col 53}{space 3}0.001{col 61}{space 4} .0772645{col 74}{space 3} .3022091
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table23RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg   i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(9, 3403)        =  {res} 16631.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res}  .2328

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9590534{col 33}{space 2} .0061713{col 44}{space 1}  155.40{col 53}{space 3}0.000{col 61}{space 4} .9469536{col 74}{space 3} .9711533
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0301047{col 33}{space 2} .0117181{col 44}{space 1}    2.57{col 53}{space 3}0.010{col 61}{space 4} .0071295{col 74}{space 3} .0530799
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0033131{col 33}{space 2} .0007646{col 44}{space 1}    4.33{col 53}{space 3}0.000{col 61}{space 4}  .001814{col 74}{space 3} .0048121
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0181135{col 33}{space 2} .0036107{col 44}{space 1}   -5.02{col 53}{space 3}0.000{col 61}{space 4}-.0251928{col 74}{space 3}-.0110341
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0128403{col 33}{space 2} .0039764{col 44}{space 1}    3.23{col 53}{space 3}0.001{col 61}{space 4} .0050439{col 74}{space 3} .0206367
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0237418{col 33}{space 2} .0211156{col 44}{space 1}   -1.12{col 53}{space 3}0.261{col 61}{space 4}-.0651424{col 74}{space 3} .0176588
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .009748{col 33}{space 2} .0162954{col 44}{space 1}    0.60{col 53}{space 3}0.550{col 61}{space 4}-.0222018{col 74}{space 3} .0416978
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003248{col 33}{space 2} .0005858{col 44}{space 1}    0.55{col 53}{space 3}0.579{col 61}{space 4}-.0008238{col 74}{space 3} .0014733
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2} -.031688{col 33}{space 2} .0124906{col 44}{space 1}   -2.54{col 53}{space 3}0.011{col 61}{space 4}-.0561779{col 74}{space 3}-.0071982
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1970452{col 33}{space 2} .0581637{col 44}{space 1}    3.39{col 53}{space 3}0.001{col 61}{space 4} .0830058{col 74}{space 3} .3110845
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table23RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg   i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(9, 3403)        =  {res} 22427.62
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res}  .1322

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9883379{col 33}{space 2} .0038437{col 44}{space 1}  257.13{col 53}{space 3}0.000{col 61}{space 4} .9808017{col 74}{space 3}  .995874
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026004{col 33}{space 2} .0013146{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0000229{col 74}{space 3}  .005178
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0011473{col 33}{space 2} .0005137{col 44}{space 1}    2.23{col 53}{space 3}0.026{col 61}{space 4} .0001402{col 74}{space 3} .0021545
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0043958{col 33}{space 2} .0015346{col 44}{space 1}   -2.86{col 53}{space 3}0.004{col 61}{space 4}-.0074045{col 74}{space 3} -.001387
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0026251{col 33}{space 2} .0015394{col 44}{space 1}   -1.71{col 53}{space 3}0.088{col 61}{space 4}-.0056434{col 74}{space 3} .0003931
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0218546{col 33}{space 2} .0128407{col 44}{space 1}   -1.70{col 53}{space 3}0.089{col 61}{space 4}-.0470308{col 74}{space 3} .0033216
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0056568{col 33}{space 2} .0087648{col 44}{space 1}    0.65{col 53}{space 3}0.519{col 61}{space 4}-.0115279{col 74}{space 3} .0228416
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002454{col 33}{space 2} .0002178{col 44}{space 1}   -1.13{col 53}{space 3}0.260{col 61}{space 4}-.0006724{col 74}{space 3} .0001815
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0195964{col 33}{space 2} .0088714{col 44}{space 1}   -2.21{col 53}{space 3}0.027{col 61}{space 4}-.0369902{col 74}{space 3}-.0022026
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0971869{col 33}{space 2} .0282206{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} .0418558{col 74}{space 3}  .152518
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table23RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg   i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(9, 3403)        =  {res} 22492.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9863
                                                {txt}Root MSE          =    {res} .13222

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         v2clsocgrp{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9884797{col 33}{space 2} .0038028{col 44}{space 1}  259.93{col 53}{space 3}0.000{col 61}{space 4} .9810237{col 74}{space 3} .9959358
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0150311{col 33}{space 2} .0079091{col 44}{space 1}    1.90{col 53}{space 3}0.057{col 61}{space 4} -.000476{col 74}{space 3} .0305382
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0011273{col 33}{space 2} .0005095{col 44}{space 1}    2.21{col 53}{space 3}0.027{col 61}{space 4} .0001283{col 74}{space 3} .0021263
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0043942{col 33}{space 2} .0015374{col 44}{space 1}   -2.86{col 53}{space 3}0.004{col 61}{space 4}-.0074085{col 74}{space 3}-.0013799
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0025617{col 33}{space 2} .0015299{col 44}{space 1}   -1.67{col 53}{space 3}0.094{col 61}{space 4}-.0055613{col 74}{space 3} .0004379
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.021091{col 33}{space 2} .0127141{col 44}{space 1}   -1.66{col 53}{space 3}0.097{col 61}{space 4} -.046019{col 74}{space 3} .0038371
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0057622{col 33}{space 2} .0087795{col 44}{space 1}    0.66{col 53}{space 3}0.512{col 61}{space 4}-.0114515{col 74}{space 3} .0229759
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0002343{col 33}{space 2} .0002154{col 44}{space 1}   -1.09{col 53}{space 3}0.277{col 61}{space 4}-.0006566{col 74}{space 3}  .000188
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0196769{col 33}{space 2} .0090419{col 44}{space 1}   -2.18{col 53}{space 3}0.030{col 61}{space 4}-.0374049{col 74}{space 3}-.0019488
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .099589{col 33}{space 2} .0284486{col 44}{space 1}    3.50{col 53}{space 3}0.000{col 61}{space 4}  .043811{col 74}{space 3}  .155367
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table23RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg   i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(10, 3402)       =  {res} 17514.97
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9720
                                                {txt}Root MSE          =    {res} .23234

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .950792{col 33}{space 2} .0069786{col 44}{space 1}  136.24{col 53}{space 3}0.000{col 61}{space 4} .9371092{col 74}{space 3} .9644747
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0185649{col 33}{space 2} .0058503{col 44}{space 1}    3.17{col 53}{space 3}0.002{col 61}{space 4} .0070945{col 74}{space 3} .0300353
{txt}{space 19} {c |}
{space 11}cai_cai1 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0032214{col 33}{space 2} .0020221{col 44}{space 1}    1.59{col 53}{space 3}0.111{col 61}{space 4}-.0007433{col 74}{space 3} .0071861
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0023985{col 33}{space 2} .0007663{col 44}{space 1}    3.13{col 53}{space 3}0.002{col 61}{space 4}  .000896{col 74}{space 3} .0039011
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0192332{col 33}{space 2} .0036518{col 44}{space 1}   -5.27{col 53}{space 3}0.000{col 61}{space 4}-.0263931{col 74}{space 3}-.0120732
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0163373{col 33}{space 2} .0039634{col 44}{space 1}    4.12{col 53}{space 3}0.000{col 61}{space 4} .0085664{col 74}{space 3} .0241082
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0132293{col 33}{space 2} .0208107{col 44}{space 1}   -0.64{col 53}{space 3}0.525{col 61}{space 4}-.0540319{col 74}{space 3} .0275734
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0076279{col 33}{space 2} .0160983{col 44}{space 1}    0.47{col 53}{space 3}0.636{col 61}{space 4}-.0239354{col 74}{space 3} .0391911
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001246{col 33}{space 2} .0005849{col 44}{space 1}    0.21{col 53}{space 3}0.831{col 61}{space 4}-.0010222{col 74}{space 3} .0012715
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0327879{col 33}{space 2} .0122372{col 44}{space 1}   -2.68{col 53}{space 3}0.007{col 61}{space 4}-.0567809{col 74}{space 3}-.0087949
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .179049{col 33}{space 2} .0564806{col 44}{space 1}    3.17{col 53}{space 3}0.002{col 61}{space 4} .0683097{col 74}{space 3} .2897883
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table23RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(10, 3402)       =  {res} 17517.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9720
                                                {txt}Root MSE          =    {res} .23233

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9507191{col 33}{space 2} .0069816{col 44}{space 1}  136.18{col 53}{space 3}0.000{col 61}{space 4} .9370307{col 74}{space 3} .9644076
{txt}{space 19} {c |}
{space 9}v2clsocgrp {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0185383{col 33}{space 2} .0058154{col 44}{space 1}    3.19{col 53}{space 3}0.001{col 61}{space 4} .0071362{col 74}{space 3} .0299403
{txt}{space 19} {c |}
{space 11}cai_cai2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0218834{col 33}{space 2} .0122931{col 44}{space 1}    1.78{col 53}{space 3}0.075{col 61}{space 4}-.0022191{col 74}{space 3}  .045986
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0023742{col 33}{space 2} .0007661{col 44}{space 1}    3.10{col 53}{space 3}0.002{col 61}{space 4}  .000872{col 74}{space 3} .0038764
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0193262{col 33}{space 2}   .00366{col 44}{space 1}   -5.28{col 53}{space 3}0.000{col 61}{space 4}-.0265021{col 74}{space 3}-.0121502
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0161343{col 33}{space 2}  .003934{col 44}{space 1}    4.10{col 53}{space 3}0.000{col 61}{space 4}  .008421{col 74}{space 3} .0238476
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0129913{col 33}{space 2} .0208492{col 44}{space 1}   -0.62{col 53}{space 3}0.533{col 61}{space 4}-.0538696{col 74}{space 3} .0278869
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0078257{col 33}{space 2} .0161035{col 44}{space 1}    0.49{col 53}{space 3}0.627{col 61}{space 4}-.0237479{col 74}{space 3} .0393992
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001222{col 33}{space 2}  .000589{col 44}{space 1}    0.21{col 53}{space 3}0.836{col 61}{space 4}-.0010326{col 74}{space 3}  .001277
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0349188{col 33}{space 2} .0125381{col 44}{space 1}   -2.79{col 53}{space 3}0.005{col 61}{space 4}-.0595017{col 74}{space 3}-.0103358
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1850236{col 33}{space 2} .0572187{col 44}{space 1}    3.23{col 53}{space 3}0.001{col 61}{space 4} .0728371{col 74}{space 3}   .29721
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table23RR ,  append word se label
. 
. 
. *Table 18: Include polity squared 
. *Model 1: theta_mean and cai1
. reg theta_mean  l.theta_mean  l.cai_cai1   c.l.polity2##c.l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 12747.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23273

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           theta_mean{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}theta_mean {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .9596465{col 35}{space 2} .0062604{col 46}{space 1}  153.29{col 55}{space 3}0.000{col 63}{space 4}  .947372{col 76}{space 3} .9719209
{txt}{space 21} {c |}
{space 13}cai_cai1 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0051921{col 35}{space 2} .0020662{col 46}{space 1}    2.51{col 55}{space 3}0.012{col 63}{space 4} .0011408{col 76}{space 3} .0092433
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0023077{col 35}{space 2} .0009425{col 46}{space 1}    2.45{col 55}{space 3}0.014{col 63}{space 4} .0004598{col 76}{space 3} .0041555
{txt}{space 21} {c |}
cL.polity2#cL.polity2 {c |}{col 23}{res}{space 2}   .00017{col 35}{space 2} .0001716{col 46}{space 1}    0.99{col 55}{space 3}0.322{col 63}{space 4}-.0001665{col 76}{space 3} .0005065
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0174973{col 35}{space 2} .0036829{col 46}{space 1}   -4.75{col 55}{space 3}0.000{col 63}{space 4}-.0247181{col 76}{space 3}-.0102764
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0103449{col 35}{space 2} .0041807{col 46}{space 1}    2.47{col 55}{space 3}0.013{col 63}{space 4}  .002148{col 76}{space 3} .0185418
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0245793{col 35}{space 2} .0218344{col 46}{space 1}   -1.13{col 55}{space 3}0.260{col 63}{space 4}-.0673891{col 76}{space 3} .0182306
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0136363{col 35}{space 2} .0163057{col 46}{space 1}    0.84{col 55}{space 3}0.403{col 63}{space 4}-.0183338{col 76}{space 3} .0456063
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0001137{col 35}{space 2} .0005642{col 46}{space 1}    0.20{col 55}{space 3}0.840{col 63}{space 4}-.0009925{col 76}{space 3} .0012198
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0163561{col 35}{space 2} .0120897{col 46}{space 1}    1.35{col 55}{space 3}0.176{col 63}{space 4}-.0073476{col 76}{space 3} .0400599
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0172649{col 35}{space 2}  .018224{col 46}{space 1}   -0.95{col 55}{space 3}0.344{col 63}{space 4}-.0529961{col 76}{space 3} .0184662
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2} -.028773{col 35}{space 2} .0122731{col 46}{space 1}   -2.34{col 55}{space 3}0.019{col 63}{space 4}-.0528365{col 76}{space 3}-.0047095
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1978458{col 35}{space 2} .0589912{col 46}{space 1}    3.35{col 55}{space 3}0.001{col 63}{space 4} .0821841{col 76}{space 3} .3135076
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table26RR ,  replace word se label
. *Model 2: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.cai_cai2   c.l.polity2##c.l.polity2  l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 12718.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23272

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           theta_mean{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}theta_mean {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .9596527{col 35}{space 2} .0062577{col 46}{space 1}  153.36{col 55}{space 3}0.000{col 63}{space 4} .9473834{col 76}{space 3} .9719219
{txt}{space 21} {c |}
{space 13}cai_cai2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}  .033047{col 35}{space 2} .0126091{col 46}{space 1}    2.62{col 55}{space 3}0.009{col 63}{space 4} .0083247{col 76}{space 3} .0577692
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0022931{col 35}{space 2} .0009412{col 46}{space 1}    2.44{col 55}{space 3}0.015{col 63}{space 4} .0004478{col 76}{space 3} .0041385
{txt}{space 21} {c |}
cL.polity2#cL.polity2 {c |}{col 23}{res}{space 2} .0001648{col 35}{space 2} .0001717{col 46}{space 1}    0.96{col 55}{space 3}0.337{col 63}{space 4}-.0001718{col 76}{space 3} .0005015
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0175728{col 35}{space 2} .0036936{col 46}{space 1}   -4.76{col 55}{space 3}0.000{col 63}{space 4}-.0248147{col 76}{space 3} -.010331
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0102464{col 35}{space 2} .0041603{col 46}{space 1}    2.46{col 55}{space 3}0.014{col 63}{space 4} .0020895{col 76}{space 3} .0184032
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0236904{col 35}{space 2} .0219314{col 46}{space 1}   -1.08{col 55}{space 3}0.280{col 63}{space 4}-.0666904{col 76}{space 3} .0193096
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0138549{col 35}{space 2} .0163089{col 46}{space 1}    0.85{col 55}{space 3}0.396{col 63}{space 4}-.0181214{col 76}{space 3} .0458312
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0001248{col 35}{space 2}  .000569{col 46}{space 1}    0.22{col 55}{space 3}0.826{col 63}{space 4}-.0009909{col 76}{space 3} .0012405
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0163701{col 35}{space 2} .0119687{col 46}{space 1}    1.37{col 55}{space 3}0.171{col 63}{space 4}-.0070965{col 76}{space 3} .0398368
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0167955{col 35}{space 2} .0183149{col 46}{space 1}   -0.92{col 55}{space 3}0.359{col 63}{space 4}-.0527049{col 76}{space 3} .0191138
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2}-.0307718{col 35}{space 2} .0126082{col 46}{space 1}   -2.44{col 55}{space 3}0.015{col 63}{space 4}-.0554922{col 76}{space 3}-.0060514
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}   .20504{col 35}{space 2} .0595478{col 46}{space 1}    3.44{col 55}{space 3}0.001{col 63}{space 4} .0882869{col 76}{space 3} .3217931
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table26RR ,  append word se label
. *Model 3: social group cl & cai1
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai1    c.l.polity2##c.l.polity2  l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 17538.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res} .13218

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           v2clsocgrp{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}v2clsocgrp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .9887948{col 35}{space 2} .0038657{col 46}{space 1}  255.79{col 55}{space 3}0.000{col 63}{space 4} .9812154{col 76}{space 3} .9963741
{txt}{space 21} {c |}
{space 13}cai_cai1 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0026392{col 35}{space 2} .0013717{col 46}{space 1}    1.92{col 55}{space 3}0.054{col 63}{space 4}-.0000503{col 76}{space 3} .0053286
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0005935{col 35}{space 2} .0006204{col 46}{space 1}    0.96{col 55}{space 3}0.339{col 63}{space 4} -.000623{col 76}{space 3}   .00181
{txt}{space 21} {c |}
cL.polity2#cL.polity2 {c |}{col 23}{res}{space 2} .0000729{col 35}{space 2} .0001041{col 46}{space 1}    0.70{col 55}{space 3}0.484{col 63}{space 4}-.0001312{col 76}{space 3} .0002771
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} -.004145{col 35}{space 2} .0015368{col 46}{space 1}   -2.70{col 55}{space 3}0.007{col 63}{space 4}-.0071582{col 76}{space 3}-.0011318
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0035871{col 35}{space 2} .0020079{col 46}{space 1}   -1.79{col 55}{space 3}0.074{col 63}{space 4}-.0075239{col 76}{space 3} .0003498
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0217625{col 35}{space 2} .0130482{col 46}{space 1}   -1.67{col 55}{space 3}0.095{col 63}{space 4}-.0473457{col 76}{space 3} .0038207
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0076338{col 35}{space 2} .0087047{col 46}{space 1}    0.88{col 55}{space 3}0.381{col 63}{space 4}-.0094332{col 76}{space 3} .0247008
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0003501{col 35}{space 2} .0002192{col 46}{space 1}   -1.60{col 55}{space 3}0.110{col 63}{space 4}  -.00078{col 76}{space 3} .0000797
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0030531{col 35}{space 2} .0085678{col 46}{space 1}    0.36{col 55}{space 3}0.722{col 63}{space 4}-.0137455{col 76}{space 3} .0198517
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0130883{col 35}{space 2}  .009468{col 46}{space 1}   -1.38{col 55}{space 3}0.167{col 63}{space 4}-.0316519{col 76}{space 3} .0054754
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2}-.0193256{col 35}{space 2} .0088803{col 46}{space 1}   -2.18{col 55}{space 3}0.030{col 63}{space 4}-.0367369{col 76}{space 3}-.0019143
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1023575{col 35}{space 2} .0291451{col 46}{space 1}    3.51{col 55}{space 3}0.000{col 63}{space 4} .0452138{col 76}{space 3} .1595012
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table26RR ,  append word se label
. *Model 4: social group and cai2
. reg v2clsocgrp l.v2clsocgrp   l.cai_cai2    c.l.polity2##c.l.polity2  l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(12, 3400)       =  {res} 17624.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9864
                                                {txt}Root MSE          =    {res}  .1322

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           v2clsocgrp{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}v2clsocgrp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}   .98894{col 35}{space 2} .0038317{col 46}{space 1}  258.09{col 55}{space 3}0.000{col 63}{space 4} .9814273{col 76}{space 3} .9964528
{txt}{space 21} {c |}
{space 13}cai_cai2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0148592{col 35}{space 2} .0083194{col 46}{space 1}    1.79{col 55}{space 3}0.074{col 63}{space 4}-.0014524{col 76}{space 3} .0311707
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0005817{col 35}{space 2} .0006182{col 46}{space 1}    0.94{col 55}{space 3}0.347{col 63}{space 4}-.0006303{col 76}{space 3} .0017938
{txt}{space 21} {c |}
cL.polity2#cL.polity2 {c |}{col 23}{res}{space 2} .0000732{col 35}{space 2} .0001043{col 46}{space 1}    0.70{col 55}{space 3}0.483{col 63}{space 4}-.0001314{col 76}{space 3} .0002777
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0041408{col 35}{space 2} .0015406{col 46}{space 1}   -2.69{col 55}{space 3}0.007{col 63}{space 4}-.0071614{col 76}{space 3}-.0011201
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0034836{col 35}{space 2} .0019993{col 46}{space 1}   -1.74{col 55}{space 3}0.082{col 63}{space 4}-.0074036{col 76}{space 3} .0004363
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0210296{col 35}{space 2} .0129471{col 46}{space 1}   -1.62{col 55}{space 3}0.104{col 63}{space 4}-.0464146{col 76}{space 3} .0043553
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0077137{col 35}{space 2} .0087169{col 46}{space 1}    0.88{col 55}{space 3}0.376{col 63}{space 4}-.0093772{col 76}{space 3} .0248045
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0003346{col 35}{space 2} .0002163{col 46}{space 1}   -1.55{col 55}{space 3}0.122{col 63}{space 4}-.0007588{col 76}{space 3} .0000895
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0024273{col 35}{space 2} .0086277{col 46}{space 1}    0.28{col 55}{space 3}0.778{col 63}{space 4}-.0144888{col 76}{space 3} .0193434
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0131578{col 35}{space 2} .0095368{col 46}{space 1}   -1.38{col 55}{space 3}0.168{col 63}{space 4}-.0318561{col 76}{space 3} .0055406
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2}-.0192663{col 35}{space 2} .0090668{col 46}{space 1}   -2.12{col 55}{space 3}0.034{col 63}{space 4}-.0370433{col 76}{space 3}-.0014892
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1046957{col 35}{space 2} .0292502{col 46}{space 1}    3.58{col 55}{space 3}0.000{col 63}{space 4}  .047346{col 76}{space 3} .1620455
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table26RR ,  append  word se label
. *Model 5: theta_mean and cai1, with social group cl included 
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai1    c.l.polity2##c.l.polity2  l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(13, 3399)       =  {res} 13736.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res} .23221

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           theta_mean{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}theta_mean {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .9507382{col 35}{space 2} .0071744{col 46}{space 1}  132.52{col 55}{space 3}0.000{col 63}{space 4} .9366715{col 76}{space 3} .9648048
{txt}{space 21} {c |}
{space 11}v2clsocgrp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}  .019572{col 35}{space 2} .0057928{col 46}{space 1}    3.38{col 55}{space 3}0.001{col 63}{space 4} .0082142{col 76}{space 3} .0309298
{txt}{space 21} {c |}
{space 13}cai_cai1 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0036912{col 35}{space 2}   .00218{col 46}{space 1}    1.69{col 55}{space 3}0.090{col 63}{space 4}-.0005829{col 76}{space 3} .0079654
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0011457{col 35}{space 2} .0008947{col 46}{space 1}    1.28{col 55}{space 3}0.200{col 63}{space 4}-.0006086{col 76}{space 3} .0028999
{txt}{space 21} {c |}
cL.polity2#cL.polity2 {c |}{col 23}{res}{space 2} .0002231{col 35}{space 2} .0001722{col 46}{space 1}    1.30{col 55}{space 3}0.195{col 63}{space 4}-.0001145{col 76}{space 3} .0005608
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0187706{col 35}{space 2} .0037433{col 46}{space 1}   -5.01{col 55}{space 3}0.000{col 63}{space 4}-.0261099{col 76}{space 3}-.0114313
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0132767{col 35}{space 2} .0041577{col 46}{space 1}    3.19{col 55}{space 3}0.001{col 63}{space 4} .0051248{col 76}{space 3} .0214286
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0136464{col 35}{space 2} .0216493{col 46}{space 1}   -0.63{col 55}{space 3}0.529{col 63}{space 4}-.0560934{col 76}{space 3} .0288006
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0123267{col 35}{space 2} .0161555{col 46}{space 1}    0.76{col 55}{space 3}0.446{col 63}{space 4}-.0193488{col 76}{space 3} .0440021
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0001125{col 35}{space 2} .0005634{col 46}{space 1}   -0.20{col 55}{space 3}0.842{col 63}{space 4} -.001217{col 76}{space 3} .0009921
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0169906{col 35}{space 2} .0121114{col 46}{space 1}    1.40{col 55}{space 3}0.161{col 63}{space 4}-.0067558{col 76}{space 3}  .040737
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} -.019668{col 35}{space 2} .0179826{col 46}{space 1}   -1.09{col 55}{space 3}0.274{col 63}{space 4}-.0549258{col 76}{space 3} .0155898
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2} -.032211{col 35}{space 2} .0123233{col 46}{space 1}   -2.61{col 55}{space 3}0.009{col 63}{space 4}-.0563729{col 76}{space 3}-.0080491
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1897762{col 35}{space 2}   .05833{col 46}{space 1}    3.25{col 55}{space 3}0.001{col 63}{space 4} .0754107{col 76}{space 3} .3041417
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table26RR ,  append word se label
. *Model 6: theta_mean and cai2
. reg theta_mean  l.theta_mean  l.v2clsocgrp  l.cai_cai2   c.l.polity2##c.l.polity2   l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(13, 3399)       =  {res} 13722.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9721
                                                {txt}Root MSE          =    {res}  .2322

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           theta_mean{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}theta_mean {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .9507076{col 35}{space 2} .0071759{col 46}{space 1}  132.49{col 55}{space 3}0.000{col 63}{space 4} .9366382{col 76}{space 3}  .964777
{txt}{space 21} {c |}
{space 11}v2clsocgrp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0195797{col 35}{space 2} .0057547{col 46}{space 1}    3.40{col 55}{space 3}0.001{col 63}{space 4} .0082967{col 76}{space 3} .0308628
{txt}{space 21} {c |}
{space 13}cai_cai2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0242961{col 35}{space 2} .0131979{col 46}{space 1}    1.84{col 55}{space 3}0.066{col 63}{space 4}-.0015805{col 76}{space 3} .0501727
{txt}{space 21} {c |}
{space 14}polity2 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0011333{col 35}{space 2} .0008945{col 46}{space 1}    1.27{col 55}{space 3}0.205{col 63}{space 4}-.0006205{col 76}{space 3} .0028871
{txt}{space 21} {c |}
cL.polity2#cL.polity2 {c |}{col 23}{res}{space 2} .0002185{col 35}{space 2} .0001722{col 46}{space 1}    1.27{col 55}{space 3}0.205{col 63}{space 4}-.0001192{col 76}{space 3} .0005562
{txt}{space 21} {c |}
{space 12}lnwdi_pop {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0188486{col 35}{space 2} .0037539{col 46}{space 1}   -5.02{col 55}{space 3}0.000{col 63}{space 4}-.0262088{col 76}{space 3}-.0114884
{txt}{space 21} {c |}
{space 2}lnwdi_gdpcapcon2010 {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0131524{col 35}{space 2} .0041335{col 46}{space 1}    3.18{col 55}{space 3}0.001{col 63}{space 4} .0050479{col 76}{space 3} .0212569
{txt}{space 21} {c |}
{space 9}intllocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0130968{col 35}{space 2} .0217294{col 46}{space 1}   -0.60{col 55}{space 3}0.547{col 63}{space 4}-.0557008{col 76}{space 3} .0295073
{txt}{space 21} {c |}
{space 8}civillocation {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0124867{col 35}{space 2} .0161569{col 46}{space 1}    0.77{col 55}{space 3}0.440{col 63}{space 4}-.0191915{col 76}{space 3} .0441649
{txt}{space 21} {c |}
{space 11}v2lgfemleg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0001095{col 35}{space 2} .0005682{col 46}{space 1}   -0.19{col 55}{space 3}0.847{col 63}{space 4}-.0012235{col 76}{space 3} .0010044
{txt}{space 21} {c |}
{space 7}iarda_chcatpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .0172739{col 35}{space 2} .0119858{col 46}{space 1}    1.44{col 55}{space 3}0.150{col 63}{space 4}-.0062263{col 76}{space 3} .0407741
{txt}{space 21} {c |}
{space 7}iarda_isgenpct {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0192099{col 35}{space 2} .0180731{col 46}{space 1}   -1.06{col 55}{space 3}0.288{col 63}{space 4}-.0546453{col 76}{space 3} .0162254
{txt}{space 21} {c |}
{space 15}1.GEO7 {c |}{col 23}{res}{space 2}-.0341059{col 35}{space 2} .0126601{col 46}{space 1}   -2.69{col 55}{space 3}0.007{col 63}{space 4}-.0589281{col 76}{space 3}-.0092838
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}  .195433{col 35}{space 2} .0588204{col 46}{space 1}    3.32{col 55}{space 3}0.001{col 63}{space 4}  .080106{col 76}{space 3} .3107599
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table26RR ,  append word se label
. 
. 
. *Table 19: Individual indicators for cai rights 
. reg theta_mean  l.theta_mean  l.cai_foetal   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13863.73
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23276

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9609361{col 33}{space 2} .0061759{col 44}{space 1}  155.59{col 53}{space 3}0.000{col 61}{space 4} .9488273{col 74}{space 3}  .973045
{txt}{space 19} {c |}
{space 9}cai_foetal {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0224854{col 33}{space 2} .0091852{col 44}{space 1}    2.45{col 53}{space 3}0.014{col 61}{space 4} .0044764{col 74}{space 3} .0404944
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026308{col 33}{space 2} .0009012{col 44}{space 1}    2.92{col 53}{space 3}0.004{col 61}{space 4} .0008638{col 74}{space 3} .0043977
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0168059{col 33}{space 2} .0036031{col 44}{space 1}   -4.66{col 53}{space 3}0.000{col 61}{space 4}-.0238704{col 74}{space 3}-.0097415
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0120916{col 33}{space 2}  .004003{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0042432{col 74}{space 3} .0199401
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0195967{col 33}{space 2} .0217114{col 44}{space 1}   -0.90{col 53}{space 3}0.367{col 61}{space 4}-.0621653{col 74}{space 3}  .022972
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0125877{col 33}{space 2} .0162621{col 44}{space 1}    0.77{col 53}{space 3}0.439{col 61}{space 4}-.0192967{col 74}{space 3} .0444722
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .000216{col 33}{space 2}  .000566{col 44}{space 1}    0.38{col 53}{space 3}0.703{col 61}{space 4}-.0008936{col 74}{space 3} .0013257
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .015941{col 33}{space 2} .0112259{col 44}{space 1}    1.42{col 53}{space 3}0.156{col 61}{space 4}-.0060692{col 74}{space 3} .0379512
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172641{col 33}{space 2}  .018028{col 44}{space 1}   -0.96{col 53}{space 3}0.338{col 61}{space 4} -.052611{col 74}{space 3} .0180828
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0230188{col 33}{space 2} .0112104{col 44}{space 1}   -2.05{col 53}{space 3}0.040{col 61}{space 4}-.0449986{col 74}{space 3} -.001039
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .187309{col 33}{space 2} .0575248{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4} .0745222{col 74}{space 3} .3000957
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  replace word se label
. reg theta_mean  l.theta_mean  l.cai_life  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 14001.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23286

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9619645{col 33}{space 2} .0060531{col 44}{space 1}  158.92{col 53}{space 3}0.000{col 61}{space 4} .9500965{col 74}{space 3} .9738326
{txt}{space 19} {c |}
{space 11}cai_life {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0352887{col 33}{space 2} .0184632{col 44}{space 1}    1.91{col 53}{space 3}0.056{col 61}{space 4}-.0009115{col 74}{space 3} .0714889
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0027326{col 33}{space 2} .0009046{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4}  .000959{col 74}{space 3} .0045062
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0162341{col 33}{space 2} .0035348{col 44}{space 1}   -4.59{col 53}{space 3}0.000{col 61}{space 4}-.0231646{col 74}{space 3}-.0093036
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0142378{col 33}{space 2} .0041974{col 44}{space 1}    3.39{col 53}{space 3}0.001{col 61}{space 4} .0060081{col 74}{space 3} .0224676
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0164431{col 33}{space 2} .0216671{col 44}{space 1}   -0.76{col 53}{space 3}0.448{col 61}{space 4} -.058925{col 74}{space 3} .0260387
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0120561{col 33}{space 2} .0162681{col 44}{space 1}    0.74{col 53}{space 3}0.459{col 61}{space 4}-.0198401{col 74}{space 3} .0439522
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0003023{col 33}{space 2}  .000563{col 44}{space 1}    0.54{col 53}{space 3}0.591{col 61}{space 4}-.0008015{col 74}{space 3} .0014061
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0095981{col 33}{space 2} .0109453{col 44}{space 1}    0.88{col 53}{space 3}0.381{col 61}{space 4}-.0118619{col 74}{space 3}  .031058
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.021785{col 33}{space 2} .0179357{col 44}{space 1}   -1.21{col 53}{space 3}0.225{col 61}{space 4}-.0569508{col 74}{space 3} .0133809
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0105924{col 33}{space 2} .0101368{col 44}{space 1}   -1.04{col 53}{space 3}0.296{col 61}{space 4}-.0304673{col 74}{space 3} .0092824
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1364763{col 33}{space 2} .0567888{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .0251327{col 74}{space 3} .2478198
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  append word se label
. reg theta_mean  l.theta_mean l.cai_mental    l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 14129.18
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23289

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9619138{col 33}{space 2} .0060813{col 44}{space 1}  158.18{col 53}{space 3}0.000{col 61}{space 4} .9499905{col 74}{space 3} .9738371
{txt}{space 19} {c |}
{space 9}cai_mental {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0097736{col 33}{space 2} .0102273{col 44}{space 1}    0.96{col 53}{space 3}0.339{col 61}{space 4}-.0102787{col 74}{space 3}  .029826
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026182{col 33}{space 2} .0009068{col 44}{space 1}    2.89{col 53}{space 3}0.004{col 61}{space 4} .0008403{col 74}{space 3} .0043962
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0162604{col 33}{space 2} .0035434{col 44}{space 1}   -4.59{col 53}{space 3}0.000{col 61}{space 4}-.0232078{col 74}{space 3}-.0093129
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0136474{col 33}{space 2} .0041466{col 44}{space 1}    3.29{col 53}{space 3}0.001{col 61}{space 4} .0055173{col 74}{space 3} .0217775
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0186577{col 33}{space 2} .0214808{col 44}{space 1}   -0.87{col 53}{space 3}0.385{col 61}{space 4}-.0607743{col 74}{space 3} .0234588
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0122586{col 33}{space 2} .0162641{col 44}{space 1}    0.75{col 53}{space 3}0.451{col 61}{space 4}-.0196297{col 74}{space 3}  .044147
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0002224{col 33}{space 2} .0005464{col 44}{space 1}    0.41{col 53}{space 3}0.684{col 61}{space 4}-.0008488{col 74}{space 3} .0012937
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0105378{col 33}{space 2} .0117485{col 44}{space 1}    0.90{col 53}{space 3}0.370{col 61}{space 4}-.0124971{col 74}{space 3} .0335727
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0213041{col 33}{space 2} .0179771{col 44}{space 1}   -1.19{col 53}{space 3}0.236{col 61}{space 4}-.0565511{col 74}{space 3} .0139429
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0142065{col 33}{space 2} .0106988{col 44}{space 1}   -1.33{col 53}{space 3}0.184{col 61}{space 4}-.0351833{col 74}{space 3} .0067702
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1716481{col 33}{space 2} .0566353{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0606054{col 74}{space 3} .2826908
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  append word se label
. reg theta_mean  l.theta_mean l.cai_physical    l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 14022.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res}  .2328

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9613814{col 33}{space 2} .0061254{col 44}{space 1}  156.95{col 53}{space 3}0.000{col 61}{space 4} .9493715{col 74}{space 3} .9733913
{txt}{space 19} {c |}
{space 7}cai_physical {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0188948{col 33}{space 2} .0108822{col 44}{space 1}    1.74{col 53}{space 3}0.083{col 61}{space 4}-.0024414{col 74}{space 3} .0402311
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0026645{col 33}{space 2} .0009016{col 44}{space 1}    2.96{col 53}{space 3}0.003{col 61}{space 4} .0008967{col 74}{space 3} .0044322
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0165762{col 33}{space 2} .0035766{col 44}{space 1}   -4.63{col 53}{space 3}0.000{col 61}{space 4}-.0235887{col 74}{space 3}-.0095638
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0132423{col 33}{space 2} .0041176{col 44}{space 1}    3.22{col 53}{space 3}0.001{col 61}{space 4}  .005169{col 74}{space 3} .0213156
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0227539{col 33}{space 2} .0215901{col 44}{space 1}   -1.05{col 53}{space 3}0.292{col 61}{space 4}-.0650848{col 74}{space 3}  .019577
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0121179{col 33}{space 2} .0162595{col 44}{space 1}    0.75{col 53}{space 3}0.456{col 61}{space 4}-.0197615{col 74}{space 3} .0439972
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .000166{col 33}{space 2} .0005523{col 44}{space 1}    0.30{col 53}{space 3}0.764{col 61}{space 4}-.0009169{col 74}{space 3} .0012489
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0131424{col 33}{space 2}  .011689{col 44}{space 1}    1.12{col 53}{space 3}0.261{col 61}{space 4}-.0097758{col 74}{space 3} .0360606
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.019437{col 33}{space 2}  .017955{col 44}{space 1}   -1.08{col 53}{space 3}0.279{col 61}{space 4}-.0546406{col 74}{space 3} .0157667
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0167663{col 33}{space 2} .0106269{col 44}{space 1}   -1.58{col 53}{space 3}0.115{col 61}{space 4}-.0376021{col 74}{space 3} .0040694
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1733542{col 33}{space 2} .0566764{col 44}{space 1}    3.06{col 53}{space 3}0.002{col 61}{space 4} .0622309{col 74}{space 3} .2844775
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  append word se label
. reg theta_mean  l.theta_mean l.cai_rape  l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13877.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res}  .2328

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .961083{col 33}{space 2} .0061671{col 44}{space 1}  155.84{col 53}{space 3}0.000{col 61}{space 4} .9489914{col 74}{space 3} .9731746
{txt}{space 19} {c |}
{space 11}cai_rape {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0194725{col 33}{space 2}  .010138{col 44}{space 1}    1.92{col 53}{space 3}0.055{col 61}{space 4}-.0004047{col 74}{space 3} .0393497
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025116{col 33}{space 2} .0009021{col 44}{space 1}    2.78{col 53}{space 3}0.005{col 61}{space 4} .0007428{col 74}{space 3} .0042803
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0173827{col 33}{space 2} .0037444{col 44}{space 1}   -4.64{col 53}{space 3}0.000{col 61}{space 4}-.0247242{col 74}{space 3}-.0100412
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0128148{col 33}{space 2} .0040614{col 44}{space 1}    3.16{col 53}{space 3}0.002{col 61}{space 4} .0048517{col 74}{space 3} .0207779
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} -.017249{col 33}{space 2} .0217266{col 44}{space 1}   -0.79{col 53}{space 3}0.427{col 61}{space 4}-.0598475{col 74}{space 3} .0253494
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0132031{col 33}{space 2}    .0163{col 44}{space 1}    0.81{col 53}{space 3}0.418{col 61}{space 4}-.0187556{col 74}{space 3} .0451618
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0002382{col 33}{space 2} .0005661{col 44}{space 1}    0.42{col 53}{space 3}0.674{col 61}{space 4}-.0008718{col 74}{space 3} .0013482
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0116979{col 33}{space 2} .0109053{col 44}{space 1}    1.07{col 53}{space 3}0.283{col 61}{space 4}-.0096837{col 74}{space 3} .0330795
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172686{col 33}{space 2}  .018425{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-.0533938{col 74}{space 3} .0188567
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0220192{col 33}{space 2} .0121421{col 44}{space 1}   -1.81{col 53}{space 3}0.070{col 61}{space 4}-.0458257{col 74}{space 3} .0017873
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1926767{col 33}{space 2} .0591523{col 44}{space 1}    3.26{col 53}{space 3}0.001{col 61}{space 4} .0766991{col 74}{space 3} .3086543
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  append word se label
. reg theta_mean  l.theta_mean   l.cai_request l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13846.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23284

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9618834{col 33}{space 2}  .006058{col 44}{space 1}  158.78{col 53}{space 3}0.000{col 61}{space 4} .9500058{col 74}{space 3}  .973761
{txt}{space 19} {c |}
{space 8}cai_request {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0178756{col 33}{space 2} .0089273{col 44}{space 1}    2.00{col 53}{space 3}0.045{col 61}{space 4} .0003722{col 74}{space 3} .0353789
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025862{col 33}{space 2} .0008996{col 44}{space 1}    2.87{col 53}{space 3}0.004{col 61}{space 4} .0008224{col 74}{space 3}   .00435
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0166154{col 33}{space 2} .0035848{col 44}{space 1}   -4.64{col 53}{space 3}0.000{col 61}{space 4}-.0236439{col 74}{space 3}-.0095869
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0130159{col 33}{space 2} .0040049{col 44}{space 1}    3.25{col 53}{space 3}0.001{col 61}{space 4} .0051636{col 74}{space 3} .0208683
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0137401{col 33}{space 2} .0220327{col 44}{space 1}   -0.62{col 53}{space 3}0.533{col 61}{space 4}-.0569388{col 74}{space 3} .0294585
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0134402{col 33}{space 2} .0162808{col 44}{space 1}    0.83{col 53}{space 3}0.409{col 61}{space 4}-.0184809{col 74}{space 3} .0453614
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0001901{col 33}{space 2} .0005829{col 44}{space 1}    0.33{col 53}{space 3}0.744{col 61}{space 4}-.0009528{col 74}{space 3}  .001333
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0118851{col 33}{space 2} .0111586{col 44}{space 1}    1.07{col 53}{space 3}0.287{col 61}{space 4}-.0099931{col 74}{space 3} .0337633
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0203052{col 33}{space 2} .0180905{col 44}{space 1}   -1.12{col 53}{space 3}0.262{col 61}{space 4}-.0557746{col 74}{space 3} .0151642
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0239822{col 33}{space 2} .0123227{col 44}{space 1}   -1.95{col 53}{space 3}0.052{col 61}{space 4}-.0481429{col 74}{space 3} .0001785
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1838501{col 33}{space 2} .0573955{col 44}{space 1}    3.20{col 53}{space 3}0.001{col 61}{space 4} .0713169{col 74}{space 3} .2963833
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  append  word se label
. reg theta_mean  l.theta_mean  l.cai_social   l.polity2 l.lnwdi_pop l.lnwdi_gdpcapcon2010 l.intllocation l.civillocation l.v2lgfemleg  l.iarda_chcatpct  l.iarda_isgenpct i.GEO7, robust

{txt}Linear regression                               Number of obs     = {res}     3,413
                                                {txt}F(11, 3401)       =  {res} 13923.62
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9719
                                                {txt}Root MSE          =    {res} .23275

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         theta_mean{col 21}{c |} Coefficient{col 33}  std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}theta_mean {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .9602097{col 33}{space 2} .0062669{col 44}{space 1}  153.22{col 53}{space 3}0.000{col 61}{space 4} .9479224{col 74}{space 3} .9724971
{txt}{space 19} {c |}
{space 9}cai_social {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}  .025712{col 33}{space 2} .0092828{col 44}{space 1}    2.77{col 53}{space 3}0.006{col 61}{space 4} .0075115{col 74}{space 3} .0439125
{txt}{space 19} {c |}
{space 12}polity2 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0025514{col 33}{space 2}  .000899{col 44}{space 1}    2.84{col 53}{space 3}0.005{col 61}{space 4} .0007887{col 74}{space 3} .0043141
{txt}{space 19} {c |}
{space 10}lnwdi_pop {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0175226{col 33}{space 2}  .003722{col 44}{space 1}   -4.71{col 53}{space 3}0.000{col 61}{space 4}-.0248201{col 74}{space 3}-.0102251
{txt}{space 19} {c |}
lnwdi_gdpcapcon2010 {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0123893{col 33}{space 2} .0039702{col 44}{space 1}    3.12{col 53}{space 3}0.002{col 61}{space 4} .0046052{col 74}{space 3} .0201734
{txt}{space 19} {c |}
{space 7}intllocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0199489{col 33}{space 2} .0216772{col 44}{space 1}   -0.92{col 53}{space 3}0.357{col 61}{space 4}-.0624505{col 74}{space 3} .0225527
{txt}{space 19} {c |}
{space 6}civillocation {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0125027{col 33}{space 2} .0162442{col 44}{space 1}    0.77{col 53}{space 3}0.442{col 61}{space 4}-.0193467{col 74}{space 3} .0443522
{txt}{space 19} {c |}
{space 9}v2lgfemleg {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0002028{col 33}{space 2} .0005699{col 44}{space 1}    0.36{col 53}{space 3}0.722{col 61}{space 4}-.0009146{col 74}{space 3} .0013203
{txt}{space 19} {c |}
{space 5}iarda_chcatpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2} .0156048{col 33}{space 2} .0111951{col 44}{space 1}    1.39{col 53}{space 3}0.163{col 61}{space 4} -.006345{col 74}{space 3} .0375546
{txt}{space 19} {c |}
{space 5}iarda_isgenpct {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0172702{col 33}{space 2} .0183321{col 44}{space 1}   -0.94{col 53}{space 3}0.346{col 61}{space 4}-.0532133{col 74}{space 3} .0186728
{txt}{space 19} {c |}
{space 13}1.GEO7 {c |}{col 21}{res}{space 2}-.0288498{col 33}{space 2} .0125824{col 44}{space 1}   -2.29{col 53}{space 3}0.022{col 61}{space 4}-.0535197{col 74}{space 3}-.0041799
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1993748{col 33}{space 2} .0591102{col 44}{space 1}    3.37{col 53}{space 3}0.001{col 61}{space 4} .0834797{col 74}{space 3} .3152698
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. **outreg2 using Table27RR ,  append word se label
. 
. *Tables 20-22.32
. 
. use  ReplicationDataset.dta, replace 
{txt}
{com}. 
. *LGBT rights Dicklitch-Nelson et al JHR
. 
. *asdoc tab Score_Grade_ lcai_cai1,  nokey subopt(column row) chi2 replace save(LGBTresults.doc)
. 
. foreach var of varlist  nonegLoTCriminal   nonegLoTDissident nonegLoTMarginalized  nonegLoTStateAgent  {c -(}
{txt}  2{com}. 
. *asdoc tab `var' lcai_cai1, nokey subopt(column row) chi2 append  save(ITTresults.doc)
. 
. 
. {c )-}
{txt}
{com}. 
. foreach var of varlist nonegLoTUnknownCriminal nonegLoTUnknownDissident nonegLoTUnknownMarginalized nonegLoTUnknownStateAgent nonegLoTUnknownUnknown nonegLoTPoliceCriminal nonegLoTPoliceDissident nonegLoTPoliceMarginalized nonegLoTPoliceStateAgent nonegLoTPoliceUnknown nonegLoTPrisonCriminal nonegLoTPrisonDissident nonegLoTPrisonMarginalized nonegLoTPrisonStateAgent nonegLoTPrisonUnknown nonegLoTMilitaryCriminal nonegLoTMilitaryDissident nonegLoTMilitaryMarginalized nonegLoTMilitaryStateAgent nonegLoTMilitaryUnknown nonegLoTIntelligenceCriminal nonegLoTIntelligenceDissident nonegLoTIntelligenceMarginalized nonegLoTIntelligenceUnknown nonegLoTImmigrationCriminal nonegLoTImmigrationDissident nonegLoTImmigrationMarginalized nonegLoTImmigrationUnknown nonegLoTParamilitaryCriminal nonegLoTParamilitaryDissident nonegLoTParamilitaryMarginalized nonegLoTParamilitaryUnknown{c -(}
{txt}  2{com}. 
. *asdoc tab `var' lcai_cai1,  nokey subopt(column row) chi2 append save(ITTresults.doc)
. 
. 
. {c )-}
{txt}
{com}. 
. 
. 
. *Table 23: new results with Gay rights
. tsset ccode year 
{res}
{col 1}{txt:Panel variable: }{res:ccode}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1946}}{txt: to }{res:{bind:2023}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. ologit Score_Grade_ Dcai_cai2 lcai_cai2 l.theta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7   , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-643.70711}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-421.71544}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-359.63141}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -350.7085}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-350.40204}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-350.40141}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-350.40141}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:582}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:115.21}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-350.40141}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.4557}

{txt}{ralign 86:(Std. err. adjusted for {res:149} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}        Score_Grade_{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2}-1.181509{col 34}{space 2} 1.744426{col 45}{space 1}   -0.68{col 54}{space 3}0.498{col 62}{space 4}-4.600522{col 75}{space 3} 2.237504
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2}-1.305142{col 34}{space 2} .6892345{col 45}{space 1}   -1.89{col 54}{space 3}0.058{col 62}{space 4}-2.656017{col 75}{space 3} .0457325
{txt}{space 20} {c |}
{space 10}theta_mean {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.197075{col 34}{space 2} .3449671{col 45}{space 1}   -0.57{col 54}{space 3}0.568{col 62}{space 4}-.8731981{col 75}{space 3} .4790481
{txt}{space 20} {c |}
{space 12}lpolity2 {c |}{col 22}{res}{space 2} -.211484{col 34}{space 2} .0643524{col 45}{space 1}   -3.29{col 54}{space 3}0.001{col 62}{space 4}-.3376124{col 75}{space 3}-.0853555
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.2382352{col 34}{space 2} .2185972{col 45}{space 1}   -1.09{col 54}{space 3}0.276{col 62}{space 4}-.6666777{col 75}{space 3} .1902074
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-1.148762{col 34}{space 2} .4017378{col 45}{space 1}   -2.86{col 54}{space 3}0.004{col 62}{space 4}-1.936154{col 75}{space 3}-.3613708
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.9624468{col 34}{space 2} 2.163331{col 45}{space 1}   -0.44{col 54}{space 3}0.656{col 62}{space 4}-5.202497{col 75}{space 3} 3.277603
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} -.553736{col 34}{space 2} 1.231036{col 45}{space 1}   -0.45{col 54}{space 3}0.653{col 62}{space 4}-2.966522{col 75}{space 3}  1.85905
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0840883{col 34}{space 2} .0204694{col 45}{space 1}   -4.11{col 54}{space 3}0.000{col 62}{space 4}-.1242076{col 75}{space 3} -.043969
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-1.220413{col 34}{space 2} .6555701{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4}-2.505307{col 75}{space 3} .0644805
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} 2.366714{col 34}{space 2} 2.043162{col 45}{space 1}    1.16{col 54}{space 3}0.247{col 62}{space 4}-1.637809{col 75}{space 3} 6.371237
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} .4916214{col 34}{space 2}  .567135{col 45}{space 1}    0.87{col 54}{space 3}0.386{col 62}{space 4}-.6199428{col 75}{space 3} 1.603186
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} -23.2249{col 34}{space 2} 3.968694{col 62}{space 4} -31.0034{col 75}{space 3} -15.4464
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-22.02622{col 34}{space 2} 3.898065{col 62}{space 4}-29.66629{col 75}{space 3}-14.38615
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-20.30882{col 34}{space 2} 3.752874{col 62}{space 4}-27.66432{col 75}{space 3}-12.95332
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2}-18.65787{col 34}{space 2} 3.647917{col 62}{space 4}-25.80765{col 75}{space 3}-11.50808
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tablegay, replace word se label
. reg Pct_GBGR_Score_ Dcai_cai2 lcai_cai2  l.theta_mean lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7   , robust

{txt}Linear regression                               Number of obs     = {res}       582
                                                {txt}F(12, 569)        =  {res}   197.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7285
                                                {txt}Root MSE          =    {res} 14.278

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     Pct_GBGR_Score_{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2} 15.91941{col 34}{space 2} 7.879052{col 45}{space 1}    2.02{col 54}{space 3}0.044{col 62}{space 4} .4438291{col 75}{space 3} 31.39498
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} 15.41161{col 34}{space 2} 2.238127{col 45}{space 1}    6.89{col 54}{space 3}0.000{col 62}{space 4} 11.01561{col 75}{space 3} 19.80761
{txt}{space 20} {c |}
{space 10}theta_mean {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 2.839379{col 34}{space 2} .8977555{col 45}{space 1}    3.16{col 54}{space 3}0.002{col 62}{space 4}  1.07606{col 75}{space 3} 4.602698
{txt}{space 20} {c |}
{space 12}lpolity2 {c |}{col 22}{res}{space 2} 1.099055{col 34}{space 2} .1352475{col 45}{space 1}    8.13{col 54}{space 3}0.000{col 62}{space 4} .8334093{col 75}{space 3}   1.3647
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} 1.671724{col 34}{space 2} .5607782{col 45}{space 1}    2.98{col 54}{space 3}0.003{col 62}{space 4} .5702763{col 75}{space 3} 2.773172
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} 5.093363{col 34}{space 2} .6609534{col 45}{space 1}    7.71{col 54}{space 3}0.000{col 62}{space 4} 3.795156{col 75}{space 3} 6.391569
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} 2.364034{col 34}{space 2} 10.99969{col 45}{space 1}    0.21{col 54}{space 3}0.830{col 62}{space 4}-19.24092{col 75}{space 3} 23.96899
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-1.041907{col 34}{space 2}  2.23077{col 45}{space 1}   -0.47{col 54}{space 3}0.641{col 62}{space 4}-5.423455{col 75}{space 3} 3.339641
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .3622517{col 34}{space 2} .0576108{col 45}{space 1}    6.29{col 54}{space 3}0.000{col 62}{space 4}  .249096{col 75}{space 3} .4754074
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} 16.58242{col 34}{space 2} 2.496949{col 45}{space 1}    6.64{col 54}{space 3}0.000{col 62}{space 4} 11.67806{col 75}{space 3} 21.48679
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-11.95438{col 34}{space 2} 2.282739{col 45}{space 1}   -5.24{col 54}{space 3}0.000{col 62}{space 4}-16.43801{col 75}{space 3}-7.470759
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} .5415685{col 34}{space 2} 2.111011{col 45}{space 1}    0.26{col 54}{space 3}0.798{col 62}{space 4}-3.604756{col 75}{space 3} 4.687893
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-48.76081{col 34}{space 2} 8.667211{col 45}{space 1}   -5.63{col 54}{space 3}0.000{col 62}{space 4}-65.78444{col 75}{space 3}-31.73718
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *outreg2 using Tablegay, append word se label
. ologit Score_Grade_ Dcai_cai1 lcai_cai1 l.theta_mean  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7   , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-643.70711}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-421.53307}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-359.21657}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-350.26011}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-349.95057}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-349.94992}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-349.94992}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:582}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:113.21}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-349.94992}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.4564}

{txt}{ralign 86:(Std. err. adjusted for {res:149} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}        Score_Grade_{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2}-.1137821{col 34}{space 2} .2167341{col 45}{space 1}   -0.52{col 54}{space 3}0.600{col 62}{space 4}-.5385732{col 75}{space 3} .3110089
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2}-.2273632{col 34}{space 2} .1175144{col 45}{space 1}   -1.93{col 54}{space 3}0.053{col 62}{space 4}-.4576871{col 75}{space 3} .0029608
{txt}{space 20} {c |}
{space 10}theta_mean {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1795407{col 34}{space 2} .3397207{col 45}{space 1}   -0.53{col 54}{space 3}0.597{col 62}{space 4} -.845381{col 75}{space 3} .4862996
{txt}{space 20} {c |}
{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.2141643{col 34}{space 2} .0640686{col 45}{space 1}   -3.34{col 54}{space 3}0.001{col 62}{space 4}-.3397364{col 75}{space 3}-.0885921
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2}-.2411869{col 34}{space 2}  .215837{col 45}{space 1}   -1.12{col 54}{space 3}0.264{col 62}{space 4}-.6642196{col 75}{space 3} .1818458
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-1.151726{col 34}{space 2} .3936382{col 45}{space 1}   -2.93{col 54}{space 3}0.003{col 62}{space 4}-1.923243{col 75}{space 3}-.3802098
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.9014246{col 34}{space 2} 2.182328{col 45}{space 1}   -0.41{col 54}{space 3}0.680{col 62}{space 4} -5.17871{col 75}{space 3}  3.37586
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-.4976721{col 34}{space 2} 1.208471{col 45}{space 1}   -0.41{col 54}{space 3}0.680{col 62}{space 4}-2.866233{col 75}{space 3} 1.870888
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0842899{col 34}{space 2} .0203534{col 45}{space 1}   -4.14{col 54}{space 3}0.000{col 62}{space 4}-.1241817{col 75}{space 3} -.044398
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-1.267108{col 34}{space 2} .6600029{col 45}{space 1}   -1.92{col 54}{space 3}0.055{col 62}{space 4} -2.56069{col 75}{space 3} .0264738
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}  2.35128{col 34}{space 2} 2.034055{col 45}{space 1}    1.16{col 54}{space 3}0.248{col 62}{space 4}-1.635395{col 75}{space 3} 6.337955
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} .4726069{col 34}{space 2} .5617793{col 45}{space 1}    0.84{col 54}{space 3}0.400{col 62}{space 4}-.6284603{col 75}{space 3} 1.573674
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-23.61362{col 34}{space 2} 3.916727{col 62}{space 4}-31.29027{col 75}{space 3}-15.93698
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} -22.4158{col 34}{space 2} 3.846089{col 62}{space 4}  -29.954{col 75}{space 3}-14.87761
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-20.69546{col 34}{space 2} 3.698313{col 62}{space 4}-27.94402{col 75}{space 3} -13.4469
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2}-19.03916{col 34}{space 2} 3.591753{col 62}{space 4}-26.07887{col 75}{space 3}-11.99945
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tablegay, append word se label
. reg Pct_GBGR_Score_ Dcai_cai1 lcai_cai1 l.theta_mean  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7   , robust

{txt}Linear regression                               Number of obs     = {res}       582
                                                {txt}F(12, 569)        =  {res}   191.21
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7234
                                                {txt}Root MSE          =    {res} 14.411

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     Pct_GBGR_Score_{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2} 2.018034{col 34}{space 2} 1.146531{col 45}{space 1}    1.76{col 54}{space 3}0.079{col 62}{space 4}-.2339151{col 75}{space 3} 4.269983
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} 2.257408{col 34}{space 2} .3567277{col 45}{space 1}    6.33{col 54}{space 3}0.000{col 62}{space 4} 1.556745{col 75}{space 3} 2.958072
{txt}{space 20} {c |}
{space 10}theta_mean {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 2.807919{col 34}{space 2} .9040439{col 45}{space 1}    3.11{col 54}{space 3}0.002{col 62}{space 4} 1.032248{col 75}{space 3} 4.583589
{txt}{space 20} {c |}
{space 12}lpolity2 {c |}{col 22}{res}{space 2} 1.131576{col 34}{space 2} .1372088{col 45}{space 1}    8.25{col 54}{space 3}0.000{col 62}{space 4} .8620787{col 75}{space 3} 1.401074
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} 1.701859{col 34}{space 2} .5659112{col 45}{space 1}    3.01{col 54}{space 3}0.003{col 62}{space 4} .5903289{col 75}{space 3} 2.813389
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} 5.330946{col 34}{space 2} .6513315{col 45}{space 1}    8.18{col 54}{space 3}0.000{col 62}{space 4} 4.051639{col 75}{space 3} 6.610254
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} 2.503988{col 34}{space 2} 11.30464{col 45}{space 1}    0.22{col 54}{space 3}0.825{col 62}{space 4}-19.69993{col 75}{space 3} 24.70791
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}-1.331882{col 34}{space 2} 2.250987{col 45}{space 1}   -0.59{col 54}{space 3}0.554{col 62}{space 4} -5.75314{col 75}{space 3} 3.089377
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} .3797082{col 34}{space 2} .0576979{col 45}{space 1}    6.58{col 54}{space 3}0.000{col 62}{space 4} .2663814{col 75}{space 3}  .493035
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} 16.23978{col 34}{space 2} 2.487949{col 45}{space 1}    6.53{col 54}{space 3}0.000{col 62}{space 4}  11.3531{col 75}{space 3} 21.12647
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} -12.2152{col 34}{space 2} 2.291661{col 45}{space 1}   -5.33{col 54}{space 3}0.000{col 62}{space 4}-16.71635{col 75}{space 3}-7.714054
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} 2.095694{col 34}{space 2} 2.058684{col 45}{space 1}    1.02{col 54}{space 3}0.309{col 62}{space 4}-1.947853{col 75}{space 3}  6.13924
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-53.38799{col 34}{space 2} 8.543764{col 45}{space 1}   -6.25{col 54}{space 3}0.000{col 62}{space 4}-70.16916{col 75}{space 3}-36.60682
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *outreg2 using Tablegay, append word se label
. 
. 
. *Table 24: New results with ITT & CAI1 
. ologit nonegLoTC Dcai_cai1 lcai_cai1  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1446.6157}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1324.4358}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -1318.879}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1318.8548}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1318.8548}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,255}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:95.75}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1318.8548}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0883}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    nonegLoTCriminal{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2}-.0280466{col 34}{space 2} .1943212{col 45}{space 1}   -0.14{col 54}{space 3}0.885{col 62}{space 4}-.4089091{col 75}{space 3} .3528158
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .1283506{col 34}{space 2} .0672061{col 45}{space 1}    1.91{col 54}{space 3}0.056{col 62}{space 4}-.0033709{col 75}{space 3} .2600722
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0425574{col 34}{space 2} .0187709{col 45}{space 1}   -2.27{col 54}{space 3}0.023{col 62}{space 4}-.0793476{col 75}{space 3}-.0057671
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .5961088{col 34}{space 2} .0864671{col 45}{space 1}    6.89{col 54}{space 3}0.000{col 62}{space 4} .4266364{col 75}{space 3} .7655812
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0250629{col 34}{space 2} .1025587{col 45}{space 1}    0.24{col 54}{space 3}0.807{col 62}{space 4}-.1759484{col 75}{space 3} .2260742
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.6641312{col 34}{space 2}  .507618{col 45}{space 1}   -1.31{col 54}{space 3}0.191{col 62}{space 4}-1.659044{col 75}{space 3} .3307818
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .5702197{col 34}{space 2} .2995489{col 45}{space 1}    1.90{col 54}{space 3}0.057{col 62}{space 4}-.0168854{col 75}{space 3} 1.157325
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0230698{col 34}{space 2} .0143384{col 45}{space 1}   -1.61{col 54}{space 3}0.108{col 62}{space 4}-.0511725{col 75}{space 3} .0050329
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} 1.065644{col 34}{space 2} .4322454{col 45}{space 1}    2.47{col 54}{space 3}0.014{col 62}{space 4} .2184583{col 75}{space 3} 1.912829
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} .3654688{col 34}{space 2} .4137265{col 45}{space 1}    0.88{col 54}{space 3}0.377{col 62}{space 4}-.4454202{col 75}{space 3} 1.176358
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} .5384771{col 34}{space 2} .3935538{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.2328742{col 75}{space 3} 1.309828
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 11.24623{col 34}{space 2} 1.578784{col 62}{space 4} 8.151873{col 75}{space 3} 14.34059
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 11.34305{col 34}{space 2} 1.580269{col 62}{space 4} 8.245776{col 75}{space 3} 14.44032
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 11.88245{col 34}{space 2}  1.59641{col 62}{space 4} 8.753539{col 75}{space 3} 15.01135
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 12.41548{col 34}{space 2} 1.595104{col 62}{space 4} 9.289133{col 75}{space 3} 15.54182
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 13.20912{col 34}{space 2} 1.600139{col 62}{space 4} 10.07291{col 75}{space 3} 16.34533
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr1 ,  replace word se label
. ologit nonegLoTD Dcai_cai1 lcai_cai1  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-984.37956}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-854.44354}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-828.31957}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-827.94622}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -827.9456}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -827.9456}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,314}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:103.58}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-827.9456}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1589}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   nonegLoTDissident{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2}-.8091628{col 34}{space 2} .2444803{col 45}{space 1}   -3.31{col 54}{space 3}0.001{col 62}{space 4}-1.288335{col 75}{space 3}-.3299902
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2}-.0306564{col 34}{space 2} .0881219{col 45}{space 1}   -0.35{col 54}{space 3}0.728{col 62}{space 4}-.2033721{col 75}{space 3} .1420594
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.1364963{col 34}{space 2} .0253588{col 45}{space 1}   -5.38{col 54}{space 3}0.000{col 62}{space 4}-.1861987{col 75}{space 3}-.0867939
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .6047488{col 34}{space 2} .0992285{col 45}{space 1}    6.09{col 54}{space 3}0.000{col 62}{space 4} .4102645{col 75}{space 3} .7992331
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0734667{col 34}{space 2} .1362744{col 45}{space 1}    0.54{col 54}{space 3}0.590{col 62}{space 4}-.1936262{col 75}{space 3} .3405596
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} -.317318{col 34}{space 2} .8101366{col 45}{space 1}   -0.39{col 54}{space 3}0.695{col 62}{space 4}-1.905157{col 75}{space 3} 1.270521
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.141513{col 34}{space 2} .4354518{col 45}{space 1}    2.62{col 54}{space 3}0.009{col 62}{space 4} .2880434{col 75}{space 3} 1.994983
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0048551{col 34}{space 2}  .017536{col 45}{space 1}   -0.28{col 54}{space 3}0.782{col 62}{space 4} -.039225{col 75}{space 3} .0295149
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}  1.07669{col 34}{space 2} .6738159{col 45}{space 1}    1.60{col 54}{space 3}0.110{col 62}{space 4}-.2439647{col 75}{space 3} 2.397345
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} .6900866{col 34}{space 2}  .561424{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.4102841{col 75}{space 3} 1.790457
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0374564{col 34}{space 2} .5887255{col 45}{space 1}   -0.06{col 54}{space 3}0.949{col 62}{space 4}-1.191337{col 75}{space 3} 1.116424
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 12.25266{col 34}{space 2} 1.943131{col 62}{space 4} 8.444196{col 75}{space 3} 16.06113
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 12.31294{col 34}{space 2} 1.945676{col 62}{space 4} 8.499481{col 75}{space 3} 16.12639
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 12.83996{col 34}{space 2} 1.963027{col 62}{space 4} 8.992493{col 75}{space 3} 16.68742
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 13.39837{col 34}{space 2}  1.96439{col 62}{space 4} 9.548237{col 75}{space 3} 17.24851
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 13.84486{col 34}{space 2} 1.957401{col 62}{space 4} 10.00843{col 75}{space 3}  17.6813
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr1 ,  append word se label
. ologit nonegLoTMa Dcai_cai1 lcai_cai1  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1192.7178}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1089.4528}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1080.7601}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1080.7215}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1080.7215}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,293}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:76.73}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1080.7215}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0939}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}nonegLoTMarginalized{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2}-.1840648{col 34}{space 2} .2185168{col 45}{space 1}   -0.84{col 54}{space 3}0.400{col 62}{space 4}  -.61235{col 75}{space 3} .2442203
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .1035529{col 34}{space 2} .0793995{col 45}{space 1}    1.30{col 54}{space 3}0.192{col 62}{space 4}-.0520672{col 75}{space 3}  .259173
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0214543{col 34}{space 2} .0233724{col 45}{space 1}   -0.92{col 54}{space 3}0.359{col 62}{space 4}-.0672633{col 75}{space 3} .0243548
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .5159033{col 34}{space 2}  .088702{col 45}{space 1}    5.82{col 54}{space 3}0.000{col 62}{space 4} .3420505{col 75}{space 3} .6897561
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .1906044{col 34}{space 2} .1256094{col 45}{space 1}    1.52{col 54}{space 3}0.129{col 62}{space 4}-.0555855{col 75}{space 3} .4367943
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0491683{col 34}{space 2} .5232708{col 45}{space 1}   -0.09{col 54}{space 3}0.925{col 62}{space 4} -1.07476{col 75}{space 3} .9764236
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.125647{col 34}{space 2} .3394937{col 45}{space 1}    3.32{col 54}{space 3}0.001{col 62}{space 4} .4602515{col 75}{space 3} 1.791042
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0165769{col 34}{space 2} .0152922{col 45}{space 1}   -1.08{col 54}{space 3}0.278{col 62}{space 4}-.0465489{col 75}{space 3} .0133952
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .5111258{col 34}{space 2} .5266079{col 45}{space 1}    0.97{col 54}{space 3}0.332{col 62}{space 4}-.5210066{col 75}{space 3} 1.543258
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0923668{col 34}{space 2} .5359849{col 45}{space 1}   -0.17{col 54}{space 3}0.863{col 62}{space 4}-1.142878{col 75}{space 3} .9581443
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.7463394{col 34}{space 2} .4978293{col 45}{space 1}   -1.50{col 54}{space 3}0.134{col 62}{space 4}-1.722067{col 75}{space 3} .2293881
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 11.54254{col 34}{space 2} 1.737134{col 62}{space 4}  8.13782{col 75}{space 3} 14.94726
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 11.61397{col 34}{space 2} 1.742519{col 62}{space 4} 8.198699{col 75}{space 3} 15.02925
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 12.13389{col 34}{space 2} 1.754757{col 62}{space 4} 8.694632{col 75}{space 3} 15.57315
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2}  12.7503{col 34}{space 2} 1.756921{col 62}{space 4} 9.306799{col 75}{space 3}  16.1938
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2}  13.2976{col 34}{space 2} 1.756426{col 62}{space 4} 9.855072{col 75}{space 3} 16.74013
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr1 ,  append word se label
. ologit nonegLoTUnknown Dcai_cai1 lcai_cai1  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1671.2711}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1528.8673}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1524.8232}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1524.8145}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1524.8145}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,207}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:117.69}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1524.8145}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0876}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     nonegLoTUnknown{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2} .1289957{col 34}{space 2} .1618174{col 45}{space 1}    0.80{col 54}{space 3}0.425{col 62}{space 4}-.1881605{col 75}{space 3}  .446152
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2} .0568793{col 34}{space 2} .0658199{col 45}{space 1}    0.86{col 54}{space 3}0.387{col 62}{space 4}-.0721253{col 75}{space 3} .1858838
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0481131{col 34}{space 2} .0230235{col 45}{space 1}   -2.09{col 54}{space 3}0.037{col 62}{space 4}-.0932384{col 75}{space 3}-.0029878
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .4747922{col 34}{space 2}  .090021{col 45}{space 1}    5.27{col 54}{space 3}0.000{col 62}{space 4} .2983544{col 75}{space 3}   .65123
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-.0698877{col 34}{space 2} .0976428{col 45}{space 1}   -0.72{col 54}{space 3}0.474{col 62}{space 4}-.2612641{col 75}{space 3} .1214887
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} .3018872{col 34}{space 2} .3600698{col 45}{space 1}    0.84{col 54}{space 3}0.402{col 62}{space 4}-.4038366{col 75}{space 3} 1.007611
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.285957{col 34}{space 2} .2596161{col 45}{space 1}    4.95{col 54}{space 3}0.000{col 62}{space 4}  .777119{col 75}{space 3} 1.794796
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0253789{col 34}{space 2} .0134408{col 45}{space 1}   -1.89{col 54}{space 3}0.059{col 62}{space 4}-.0517224{col 75}{space 3} .0009647
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .2157313{col 34}{space 2} .4338216{col 45}{space 1}    0.50{col 54}{space 3}0.619{col 62}{space 4}-.6345434{col 75}{space 3} 1.066006
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.2850528{col 34}{space 2} .4248011{col 45}{space 1}   -0.67{col 54}{space 3}0.502{col 62}{space 4}-1.117648{col 75}{space 3}  .547542
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0457236{col 34}{space 2} .4365203{col 45}{space 1}   -0.10{col 54}{space 3}0.917{col 62}{space 4}-.9012877{col 75}{space 3} .8098405
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 7.055421{col 34}{space 2} 1.548917{col 62}{space 4} 4.019599{col 75}{space 3} 10.09124
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 7.106731{col 34}{space 2} 1.548124{col 62}{space 4} 4.072465{col 75}{space 3}   10.141
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}  7.60786{col 34}{space 2} 1.552402{col 62}{space 4} 4.565208{col 75}{space 3} 10.65051
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 8.162687{col 34}{space 2} 1.542709{col 62}{space 4} 5.139033{col 75}{space 3} 11.18634
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 9.138364{col 34}{space 2} 1.551262{col 62}{space 4} 6.097947{col 75}{space 3} 12.17878
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr1 ,  append word se label
. ologit nonegLoTStateAgent Dcai_cai1 lcai_cai1  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-161.23045}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-138.79928}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-130.31571}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-129.83472}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-129.80963}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-129.80958}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-129.80958}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,354}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:71.45}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-129.80958}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1949}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  nonegLoTStateAgent{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai1 {c |}{col 22}{res}{space 2}-.4319397{col 34}{space 2} .1896127{col 45}{space 1}   -2.28{col 54}{space 3}0.023{col 62}{space 4}-.8035738{col 75}{space 3}-.0603056
{txt}{space 11}lcai_cai1 {c |}{col 22}{res}{space 2}-.1480789{col 34}{space 2} .1642059{col 45}{space 1}   -0.90{col 54}{space 3}0.367{col 62}{space 4}-.4699165{col 75}{space 3} .1737588
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0166808{col 34}{space 2} .0641494{col 45}{space 1}   -0.26{col 54}{space 3}0.795{col 62}{space 4}-.1424113{col 75}{space 3} .1090497
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .4084712{col 34}{space 2} .2885806{col 45}{space 1}    1.42{col 54}{space 3}0.157{col 62}{space 4}-.1571365{col 75}{space 3} .9740788
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .4822389{col 34}{space 2} .2766239{col 45}{space 1}    1.74{col 54}{space 3}0.081{col 62}{space 4}-.0599339{col 75}{space 3} 1.024412
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} .3694712{col 34}{space 2} .8999247{col 45}{space 1}    0.41{col 54}{space 3}0.681{col 62}{space 4}-1.394349{col 75}{space 3} 2.133291
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.250766{col 34}{space 2} .8788823{col 45}{space 1}    1.42{col 54}{space 3}0.155{col 62}{space 4}-.4718119{col 75}{space 3} 2.973344
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.1162372{col 34}{space 2} .1180301{col 45}{space 1}   -0.98{col 54}{space 3}0.325{col 62}{space 4}-.3475721{col 75}{space 3} .1150976
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2}-.0494744{col 34}{space 2} 1.654171{col 45}{space 1}   -0.03{col 54}{space 3}0.976{col 62}{space 4}-3.291591{col 75}{space 3} 3.192642
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-5.276759{col 34}{space 2} 1.693206{col 45}{space 1}   -3.12{col 54}{space 3}0.002{col 62}{space 4}-8.595382{col 75}{space 3}-1.958135
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} 2.547509{col 34}{space 2} .8852096{col 45}{space 1}    2.88{col 54}{space 3}0.004{col 62}{space 4} .8125296{col 75}{space 3} 4.282488
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 13.13077{col 34}{space 2} 5.593282{col 62}{space 4} 2.168138{col 75}{space 3}  24.0934
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 13.17442{col 34}{space 2} 5.614085{col 62}{space 4} 2.171021{col 75}{space 3} 24.17783
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 13.21912{col 34}{space 2} 5.627889{col 62}{space 4} 2.188664{col 75}{space 3} 24.24959
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 13.66847{col 34}{space 2} 5.576134{col 62}{space 4} 2.739451{col 75}{space 3} 24.59749
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 13.98651{col 34}{space 2} 5.534149{col 62}{space 4}  3.13978{col 75}{space 3} 24.83325
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr1 ,  append word se label
. 
. 
. 
. 
. 
. *Table 25: New results with ITT 
. ologit nonegLoTC Dcai_cai2 lcai_cai2  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1446.6157}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1325.5227}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -1320.069}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1320.0467}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1320.0467}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,255}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:93.53}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1320.0467}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0875}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    nonegLoTCriminal{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2}-.5137125{col 34}{space 2} 1.345361{col 45}{space 1}   -0.38{col 54}{space 3}0.703{col 62}{space 4}-3.150572{col 75}{space 3} 2.123147
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .7069204{col 34}{space 2}  .432312{col 45}{space 1}    1.64{col 54}{space 3}0.102{col 62}{space 4}-.1403956{col 75}{space 3} 1.554236
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2} -.042778{col 34}{space 2} .0188877{col 45}{space 1}   -2.26{col 54}{space 3}0.024{col 62}{space 4}-.0797973{col 75}{space 3}-.0057587
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .5974375{col 34}{space 2} .0866617{col 45}{space 1}    6.89{col 54}{space 3}0.000{col 62}{space 4} .4275837{col 75}{space 3} .7672914
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0306504{col 34}{space 2} .1048245{col 45}{space 1}    0.29{col 54}{space 3}0.770{col 62}{space 4}-.1748019{col 75}{space 3} .2361027
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} -.635644{col 34}{space 2} .5009098{col 45}{space 1}   -1.27{col 54}{space 3}0.204{col 62}{space 4}-1.617409{col 75}{space 3} .3461211
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} .5615725{col 34}{space 2} .3015079{col 45}{space 1}    1.86{col 54}{space 3}0.063{col 62}{space 4}-.0293721{col 75}{space 3} 1.152517
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0212835{col 34}{space 2} .0142439{col 45}{space 1}   -1.49{col 54}{space 3}0.135{col 62}{space 4} -.049201{col 75}{space 3}  .006634
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} 1.027939{col 34}{space 2} .4361684{col 45}{space 1}    2.36{col 54}{space 3}0.018{col 62}{space 4} .1730642{col 75}{space 3} 1.882813
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} .3576391{col 34}{space 2} .4183746{col 45}{space 1}    0.85{col 54}{space 3}0.393{col 62}{space 4}-.4623601{col 75}{space 3} 1.177638
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} .5604951{col 34}{space 2}  .407208{col 45}{space 1}    1.38{col 54}{space 3}0.169{col 62}{space 4}-.2376178{col 75}{space 3} 1.358608
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}  11.1501{col 34}{space 2} 1.603017{col 62}{space 4} 8.008244{col 75}{space 3} 14.29196
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 11.24673{col 34}{space 2} 1.604902{col 62}{space 4} 8.101178{col 75}{space 3} 14.39228
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}  11.7855{col 34}{space 2} 1.621171{col 62}{space 4} 8.608063{col 75}{space 3} 14.96294
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 12.31855{col 34}{space 2} 1.618496{col 62}{space 4} 9.146353{col 75}{space 3} 15.49074
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 13.11243{col 34}{space 2} 1.622002{col 62}{space 4} 9.933367{col 75}{space 3}  16.2915
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr ,  replace word se label
. ologit nonegLoTD Dcai_cai2 lcai_cai2  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-984.37956}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-854.18555}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-827.73645}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-827.33443}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-827.33369}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-827.33369}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,314}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:103.63}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-827.33369}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1595}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   nonegLoTDissident{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2}-5.962436{col 34}{space 2} 1.605055{col 45}{space 1}   -3.71{col 54}{space 3}0.000{col 62}{space 4}-9.108285{col 75}{space 3}-2.816586
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2}-.1723284{col 34}{space 2}  .551316{col 45}{space 1}   -0.31{col 54}{space 3}0.755{col 62}{space 4}-1.252888{col 75}{space 3} .9082312
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.1367792{col 34}{space 2} .0253303{col 45}{space 1}   -5.40{col 54}{space 3}0.000{col 62}{space 4}-.1864256{col 75}{space 3}-.0871327
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .6058957{col 34}{space 2} .0997864{col 45}{space 1}    6.07{col 54}{space 3}0.000{col 62}{space 4}  .410318{col 75}{space 3} .8014735
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .0788855{col 34}{space 2} .1372453{col 45}{space 1}    0.57{col 54}{space 3}0.565{col 62}{space 4}-.1901104{col 75}{space 3} .3478815
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.3398691{col 34}{space 2} .8021792{col 45}{space 1}   -0.42{col 54}{space 3}0.672{col 62}{space 4}-1.912112{col 75}{space 3} 1.232373
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.140087{col 34}{space 2} .4359898{col 45}{space 1}    2.61{col 54}{space 3}0.009{col 62}{space 4} .2855628{col 75}{space 3} 1.994611
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.0044557{col 34}{space 2} .0173323{col 45}{space 1}   -0.26{col 54}{space 3}0.797{col 62}{space 4}-.0384263{col 75}{space 3} .0295149
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} 1.066329{col 34}{space 2} .6823786{col 45}{space 1}    1.56{col 54}{space 3}0.118{col 62}{space 4}-.2711089{col 75}{space 3} 2.403766
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2} .6816437{col 34}{space 2} .5670084{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.4296724{col 75}{space 3}  1.79296
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0211607{col 34}{space 2} .6031581{col 45}{space 1}   -0.04{col 54}{space 3}0.972{col 62}{space 4}-1.203329{col 75}{space 3} 1.161007
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 12.37028{col 34}{space 2} 2.006616{col 62}{space 4} 8.437385{col 75}{space 3} 16.30318
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 12.43063{col 34}{space 2}  2.00915{col 62}{space 4} 8.492771{col 75}{space 3} 16.36849
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 12.95861{col 34}{space 2} 2.025622{col 62}{space 4} 8.988463{col 75}{space 3} 16.92876
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 13.51738{col 34}{space 2} 2.025441{col 62}{space 4}  9.54759{col 75}{space 3} 17.48717
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 13.96408{col 34}{space 2} 2.018036{col 62}{space 4} 10.00881{col 75}{space 3} 17.91936
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr ,  append word se label
. ologit nonegLoTMa Dcai_cai2 lcai_cai2  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1192.7178}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1090.2588}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1081.6572}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1081.6215}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1081.6215}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,293}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:75.92}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1081.6215}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0931}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}nonegLoTMarginalized{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2}-.8812597{col 34}{space 2}   1.4146{col 45}{space 1}   -0.62{col 54}{space 3}0.533{col 62}{space 4}-3.653825{col 75}{space 3} 1.891305
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .5822615{col 34}{space 2} .5146143{col 45}{space 1}    1.13{col 54}{space 3}0.258{col 62}{space 4}-.4263639{col 75}{space 3} 1.590887
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0215797{col 34}{space 2}  .023372{col 45}{space 1}   -0.92{col 54}{space 3}0.356{col 62}{space 4}-.0673879{col 75}{space 3} .0242285
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .5155008{col 34}{space 2} .0893849{col 45}{space 1}    5.77{col 54}{space 3}0.000{col 62}{space 4} .3403097{col 75}{space 3} .6906919
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .1946743{col 34}{space 2} .1300655{col 45}{space 1}    1.50{col 54}{space 3}0.134{col 62}{space 4}-.0602494{col 75}{space 3} .4495979
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2}-.0226517{col 34}{space 2}  .517512{col 45}{space 1}   -0.04{col 54}{space 3}0.965{col 62}{space 4}-1.036956{col 75}{space 3} .9916532
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.115007{col 34}{space 2} .3398537{col 45}{space 1}    3.28{col 54}{space 3}0.001{col 62}{space 4} .4489059{col 75}{space 3} 1.781108
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} -.015465{col 34}{space 2} .0153538{col 45}{space 1}   -1.01{col 54}{space 3}0.314{col 62}{space 4}-.0455578{col 75}{space 3} .0146278
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .4819445{col 34}{space 2} .5386022{col 45}{space 1}    0.89{col 54}{space 3}0.371{col 62}{space 4}-.5736964{col 75}{space 3} 1.537585
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.0971652{col 34}{space 2} .5350468{col 45}{space 1}   -0.18{col 54}{space 3}0.856{col 62}{space 4}-1.145838{col 75}{space 3} .9515073
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.7326476{col 34}{space 2} .5116931{col 45}{space 1}   -1.43{col 54}{space 3}0.152{col 62}{space 4}-1.735548{col 75}{space 3} .2702524
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 11.44215{col 34}{space 2} 1.811678{col 62}{space 4} 7.891323{col 75}{space 3} 14.99297
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 11.51353{col 34}{space 2} 1.817036{col 62}{space 4} 7.952208{col 75}{space 3} 15.07486
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 12.03313{col 34}{space 2} 1.827862{col 62}{space 4} 8.450588{col 75}{space 3} 15.61568
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 12.64908{col 34}{space 2} 1.829073{col 62}{space 4} 9.064167{col 75}{space 3}   16.234
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 13.19581{col 34}{space 2} 1.825639{col 62}{space 4} 9.617622{col 75}{space 3}   16.774
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr ,  append word se label
. ologit nonegLoTUnknown Dcai_cai2 lcai_cai2  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1671.2711}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1529.1726}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1525.1405}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1525.1318}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1525.1318}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,207}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:114.62}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1525.1318}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0874}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     nonegLoTUnknown{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2} .6521418{col 34}{space 2} 1.044336{col 45}{space 1}    0.62{col 54}{space 3}0.532{col 62}{space 4}-1.394719{col 75}{space 3} 2.699002
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2} .3158599{col 34}{space 2} .4141101{col 45}{space 1}    0.76{col 54}{space 3}0.446{col 62}{space 4}-.4957811{col 75}{space 3} 1.127501
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0481348{col 34}{space 2} .0230586{col 45}{space 1}   -2.09{col 54}{space 3}0.037{col 62}{space 4}-.0933288{col 75}{space 3}-.0029409
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .4756391{col 34}{space 2} .0901215{col 45}{space 1}    5.28{col 54}{space 3}0.000{col 62}{space 4} .2990042{col 75}{space 3} .6522739
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2}-.0680734{col 34}{space 2} .0985242{col 45}{space 1}   -0.69{col 54}{space 3}0.490{col 62}{space 4}-.2611773{col 75}{space 3} .1250305
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} .3135597{col 34}{space 2}  .363153{col 45}{space 1}    0.86{col 54}{space 3}0.388{col 62}{space 4}-.3982071{col 75}{space 3} 1.025326
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2}  1.28607{col 34}{space 2} .2599745{col 45}{space 1}    4.95{col 54}{space 3}0.000{col 62}{space 4} .7765298{col 75}{space 3} 1.795611
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2} -.024783{col 34}{space 2} .0134445{col 45}{space 1}   -1.84{col 54}{space 3}0.065{col 62}{space 4}-.0511336{col 75}{space 3} .0015677
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .2062524{col 34}{space 2} .4384459{col 45}{space 1}    0.47{col 54}{space 3}0.638{col 62}{space 4}-.6530857{col 75}{space 3} 1.065591
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-.2876043{col 34}{space 2} .4272177{col 45}{space 1}   -0.67{col 54}{space 3}0.501{col 62}{space 4}-1.124936{col 75}{space 3}  .549727
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2}-.0397905{col 34}{space 2} .4478893{col 45}{space 1}   -0.09{col 54}{space 3}0.929{col 62}{space 4}-.9176375{col 75}{space 3} .8380565
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 7.010987{col 34}{space 2} 1.585893{col 62}{space 4} 3.902694{col 75}{space 3} 10.11928
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 7.062243{col 34}{space 2} 1.585096{col 62}{space 4} 3.955512{col 75}{space 3} 10.16897
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 7.563032{col 34}{space 2} 1.589806{col 62}{space 4}  4.44707{col 75}{space 3} 10.67899
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 8.117896{col 34}{space 2} 1.579735{col 62}{space 4} 5.021672{col 75}{space 3} 11.21412
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 9.093988{col 34}{space 2} 1.587595{col 62}{space 4} 5.982358{col 75}{space 3} 12.20562
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr ,  append word se label
. ologit nonegLoTStateAgent Dcai_cai2 lcai_cai2  lpolity2 llnwdi_pop llnwdi_gdpcapcon2010 lintllocation lcivillocation lv2lgfemleg  liarda_chcatpct  liarda_isgenpct GEO7  if Rst!=1 , cluster(ccode)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-161.23045}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-138.98046}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-130.56692}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-130.08418}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-130.05866}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-130.05861}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-130.05861}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,354}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:69.68}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-130.05861}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1933}

{txt}{ralign 86:(Std. err. adjusted for {res:140} clusters in {res:ccode})}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  nonegLoTStateAgent{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}Dcai_cai2 {c |}{col 22}{res}{space 2}-1.007009{col 34}{space 2} .8791453{col 45}{space 1}   -1.15{col 54}{space 3}0.252{col 62}{space 4}-2.730102{col 75}{space 3} .7160845
{txt}{space 11}lcai_cai2 {c |}{col 22}{res}{space 2}-.7692583{col 34}{space 2} 1.150881{col 45}{space 1}   -0.67{col 54}{space 3}0.504{col 62}{space 4}-3.024944{col 75}{space 3} 1.486428
{txt}{space 12}lpolity2 {c |}{col 22}{res}{space 2}-.0176066{col 34}{space 2} .0642035{col 45}{space 1}   -0.27{col 54}{space 3}0.784{col 62}{space 4}-.1434432{col 75}{space 3} .1082299
{txt}{space 10}llnwdi_pop {c |}{col 22}{res}{space 2} .4041996{col 34}{space 2} .2870653{col 45}{space 1}    1.41{col 54}{space 3}0.159{col 62}{space 4}-.1584381{col 75}{space 3} .9668373
{txt}llnwdi_gdpcapcon2010 {c |}{col 22}{res}{space 2} .4758853{col 34}{space 2} .2798965{col 45}{space 1}    1.70{col 54}{space 3}0.089{col 62}{space 4}-.0727018{col 75}{space 3} 1.024472
{txt}{space 7}lintllocation {c |}{col 22}{res}{space 2} .3158646{col 34}{space 2} .9234902{col 45}{space 1}    0.34{col 54}{space 3}0.732{col 62}{space 4}-1.494143{col 75}{space 3} 2.125872
{txt}{space 6}lcivillocation {c |}{col 22}{res}{space 2} 1.272259{col 34}{space 2} .8897909{col 45}{space 1}    1.43{col 54}{space 3}0.153{col 62}{space 4}-.4716995{col 75}{space 3} 3.016217
{txt}{space 9}lv2lgfemleg {c |}{col 22}{res}{space 2}-.1190685{col 34}{space 2} .1169204{col 45}{space 1}   -1.02{col 54}{space 3}0.309{col 62}{space 4}-.3482283{col 75}{space 3} .1100913
{txt}{space 5}liarda_chcatpct {c |}{col 22}{res}{space 2} .0123691{col 34}{space 2} 1.605468{col 45}{space 1}    0.01{col 54}{space 3}0.994{col 62}{space 4} -3.13429{col 75}{space 3} 3.159028
{txt}{space 5}liarda_isgenpct {c |}{col 22}{res}{space 2}-5.294246{col 34}{space 2} 1.702503{col 45}{space 1}   -3.11{col 54}{space 3}0.002{col 62}{space 4}-8.631091{col 75}{space 3}  -1.9574
{txt}{space 16}GEO7 {c |}{col 22}{res}{space 2} 2.492469{col 34}{space 2} .9528326{col 45}{space 1}    2.62{col 54}{space 3}0.009{col 62}{space 4} .6249509{col 75}{space 3} 4.359986
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 13.20404{col 34}{space 2} 5.590316{col 62}{space 4} 2.247221{col 75}{space 3} 24.16086
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 13.24766{col 34}{space 2} 5.611435{col 62}{space 4} 2.249452{col 75}{space 3} 24.24587
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 13.29233{col 34}{space 2} 5.626306{col 62}{space 4} 2.264976{col 75}{space 3} 24.31969
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 13.74149{col 34}{space 2} 5.579252{col 62}{space 4} 2.806362{col 75}{space 3} 24.67663
{txt}{space 15}/cut5 {c |}{col 22}{res}{space 2} 14.05946{col 34}{space 2} 5.538566{col 62}{space 4} 3.204072{col 75}{space 3} 24.91485
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *outreg2 using Tableittrr ,  append word se label
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\murdie\Dropbox\ISA 2023 Naz Victor Abortion\Conditional Acceptance Stage 2024\Replication Data for A Ticking Time Bomb\Log File of Replication Do File for A Ticking Time Bomb.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}17 May 2024, 13:42:18
{txt}{.-}
{smcl}
{txt}{sf}{ul off}